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Semi-Structured Interview | Definition, Guide & Examples

Published on January 27, 2022 by Tegan George . Revised on June 22, 2023.

A semi-structured interview is a data collection method that relies on asking questions within a predetermined thematic framework. However, the questions are not set in order or in phrasing.

In research, semi-structured interviews are often qualitative in nature. They are generally used as an exploratory tool in marketing, social science, survey methodology, and other research fields.

They are also common in field research with many interviewers, giving everyone the same theoretical framework, but allowing them to investigate different facets of the research question .

Structured interviews : The questions are predetermined in both topic and order.
Unstructured interviews : None of the questions are predetermined.
Focus group interviews : The questions are presented to a group instead of one individual.

What is a semi-structured interview, when to use a semi-structured interview, advantages of semi-structured interviews, disadvantages of semi-structured interviews, semi-structured interview questions, how to conduct a semi-structured interview, how to analyze a semi-structured interview, presenting your results (with example), other interesting articles, frequently asked questions about semi-structured interviews.

Semi-structured interviews are a blend of structured and unstructured types of interviews.

Unlike in an unstructured interview, the interviewer has an idea of what questions they will ask.
Unlike in a structured interview, the phrasing and order of the questions is not set.

Semi-structured interviews are often open-ended, allowing for flexibility. Asking set questions in a set order allows for easy comparison between respondents, but it can be limiting. Having less structure can help you see patterns, while still allowing for comparisons between respondents.

Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uneasy.
Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

Just like in structured interviews, it is critical that you remain organized and develop a system for keeping track of participant responses. However, since the questions are less set than in a structured interview, the data collection and analysis become a bit more complex.

Differences between different types of interviews

Make sure to choose the type of interview that suits your research best. This table shows the most important differences between the four types.


Fixed questions
Fixed order of questions
Fixed number of questions
Option to ask additional questions

Semi-structured interviews come with many advantages.

Best of both worlds

No distractions, detail and richness.

However, semi-structured interviews also have their downsides.

Low validity

High risk of research bias, difficult to develop good semi-structured interview questions.

Since they are often open-ended in style, it can be challenging to write semi-structured interview questions that get you the information you’re looking for without biasing your responses. Here are a few tips:

Define what areas or topics you will be focusing on prior to the interview. This will help you write a framework of questions that zero in on the information you seek.
Write yourself a guide to refer to during the interview, so you stay focused. It can help to start with the simpler questions first, moving into the more complex ones after you have established a comfortable rapport.
Be as clear and concise as possible, avoiding jargon and compound sentences.
How often per week do you go to the gym? a) 1 time; b) 2 times; c) 3 times; d) 4 or more times
If yes: What feelings does going to the gym bring out in you?
If no: What do you prefer to do instead?
If yes: How did this membership affect your job performance? Did you stay longer in the role than you would have if there were no membership?

Once you’ve determined that a semi-structured interview is the right fit for your research topic , you can proceed with the following steps.

Step 1: Set your goals and objectives

You can use guiding questions as you conceptualize your research question, such as:

What are you trying to learn or achieve from a semi-structured interview?
Why are you choosing a semi-structured interview as opposed to a different type of interview, or another research method?

If you want to proceed with a semi-structured interview, you can start designing your questions.

Step 2: Design your questions

Try to stay simple and concise, and phrase your questions clearly. If your topic is sensitive or could cause an emotional response, be mindful of your word choices.

One of the most challenging parts of a semi-structured interview is knowing when to ask follow-up or spontaneous related questions. For this reason, having a guide to refer back to is critical. Hypothesizing what other questions could arise from your participants’ answers may also be helpful.

Step 3: Assemble your participants

There are a few sampling methods you can use to recruit your interview participants, such as:

Voluntary response sampling : For example, sending an email to a campus mailing list and sourcing participants from responses.
Stratified sampling of a particular characteristic trait of interest to your research, such as age, race, ethnicity, or gender identity.

Step 4: Decide on your medium

It’s important to determine ahead of time how you will be conducting your interview. You should decide whether you’ll be conducting it live or with a pen-and-paper format. If conducted in real time, you also need to decide if in person, over the phone, or via videoconferencing is the best option for you.

Note that each of these methods has its own advantages and disadvantages:

Pen-and-paper may be easier for you to organize and analyze, but you will receive more prepared answers, which may affect the reliability of your data.
In-person interviews can lead to nervousness or interviewer effects, where the respondent feels pressured to respond in a manner they believe will please you or incentivize you to like them.

Step 5: Conduct your interviews

As you conduct your interviews, keep environmental conditions as constant as you can to avoid bias. Pay attention to your body language (e.g., nodding, raising eyebrows), and moderate your tone of voice.

Relatedly, one of the biggest challenges with semi-structured interviews is ensuring that your questions remain unbiased. This can be especially challenging with any spontaneous questions or unscripted follow-ups that you ask your participants.

After you’re finished conducting your interviews, it’s time to analyze your results. First, assign each of your participants a number or pseudonym for organizational purposes.

The next step in your analysis is to transcribe the audio or video recordings. You can then conduct a content or thematic analysis to determine your categories, looking for patterns of responses that stand out to you and test your hypotheses .

Transcribing interviews

Before you get started with transcription, decide whether to conduct verbatim transcription or intelligent verbatim transcription.

If pauses, laughter, or filler words like “umm” or “like” affect your analysis and research conclusions, conduct verbatim transcription and include them.
If not, you can conduct intelligent verbatim transcription, which excludes fillers, fixes any grammatical issues, and is usually easier to analyze.

Transcribing presents a great opportunity for you to cleanse your data . Here, you can identify and address any inconsistencies or questions that come up as you listen.

Your supervisor might ask you to add the transcriptions to the appendix of your paper.

Coding semi-structured interviews

Next, it’s time to conduct your thematic or content analysis . This often involves “coding” words, patterns, or recurring responses, separating them into labels or categories for more robust analysis.

Due to the open-ended nature of many semi-structured interviews, you will most likely be conducting thematic analysis, rather than content analysis.

You closely examine your data to identify common topics, ideas, or patterns. This can help you draw preliminary conclusions about your participants’ views, knowledge or experiences.
After you have been through your responses a few times, you can collect the data into groups identified by their “code.” These codes give you a condensed overview of the main points and patterns identified by your data.
Next, it’s time to organize these codes into themes. Themes are generally broader than codes, and you’ll often combine a few codes under one theme. After identifying your themes, make sure that these themes appropriately represent patterns in responses.

Analyzing semi-structured interviews

Once you’re confident in your themes, you can take either an inductive or a deductive approach.

An inductive approach is more open-ended, allowing your data to determine your themes.
A deductive approach is the opposite. It involves investigating whether your data confirm preconceived themes or ideas.

After your data analysis, the next step is to report your findings in a research paper .

Your methodology section describes how you collected the data (in this case, describing your semi-structured interview process) and explains how you justify or conceptualize your analysis.
Your discussion and results sections usually address each of your coded categories.
You can then conclude with the main takeaways and avenues for further research.

Example of interview methodology for a research paper

Let’s say you are interested in vegan students on your campus. You have noticed that the number of vegan students seems to have increased since your first year, and you are curious what caused this shift.

You identify a few potential options based on literature:

Perceptions about personal health or the perceived “healthiness” of a vegan diet
Concerns about animal welfare and the meat industry
Increased climate awareness, especially in regards to animal products
Availability of more vegan options, making the lifestyle change easier

Anecdotally, you hypothesize that students are more aware of the impact of animal products on the ongoing climate crisis, and this has influenced many to go vegan. However, you cannot rule out the possibility of the other options, such as the new vegan bar in the dining hall.

Since your topic is exploratory in nature and you have a lot of experience conducting interviews in your work-study role as a research assistant, you decide to conduct semi-structured interviews.

You have a friend who is a member of a campus club for vegans and vegetarians, so you send a message to the club to ask for volunteers. You also spend some time at the campus dining hall, approaching students at the vegan bar asking if they’d like to participate.

Here are some questions you could ask:

Do you find vegan options on campus to be: excellent; good; fair; average; poor?
How long have you been a vegan?
Follow-up questions can probe the strength of this decision (i.e., was it overwhelmingly one reason, or more of a mix?)

Depending on your participants’ answers to these questions, ask follow-ups as needed for clarification, further information, or elaboration.

Do you think consuming animal products contributes to climate change? → The phrasing implies that you, the interviewer, do think so. This could bias your respondents, incentivizing them to answer affirmatively as well.
What do you think is the biggest effect of animal product consumption? → This phrasing ensures the participant is giving their own opinion, and may even yield some surprising responses that enrich your analysis.

After conducting your interviews and transcribing your data, you can then conduct thematic analysis, coding responses into different categories. Since you began your research with several theories about campus veganism that you found equally compelling, you would use the inductive approach.

Once you’ve identified themes and patterns from your data, you can draw inferences and conclusions. Your results section usually addresses each theme or pattern you found, describing each in turn, as well as how often you came across them in your analysis. Feel free to include lots of (properly anonymized) examples from the data as evidence, too.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

Student’s t -distribution
Normal distribution
Null and Alternative Hypotheses
Chi square tests
Confidence interval
Quartiles & Quantiles
Cluster sampling
Stratified sampling
Data cleansing
Reproducibility vs Replicability
Peer review
Prospective cohort study

Research bias

Implicit bias
Cognitive bias
Placebo effect
Hawthorne effect
Hindsight bias
Affect heuristic
Social desirability bias

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.

The four most common types of interviews are:

Structured interviews : The questions are predetermined in both topic and order.
Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.

Social desirability bias is the tendency for interview participants to give responses that will be viewed favorably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias can also occur in observations if the participants know they’re being observed. They might alter their behavior accordingly.

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

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Semi-structured Interviews

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First Online: 01 January 2020
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Danielle Magaldi 3 &
Matthew Berler 4

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Open-ended interview ; Qualitative interview ; Systematic exploratory interview ; Thematic interview

The semi-structured interview is an exploratory interview used most often in the social sciences for qualitative research purposes or to gather clinical data. While it generally follows a guide or protocol that is devised prior to the interview and is focused on a core topic to provide a general structure, the semi-structured interview also allows for discovery, with space to follow topical trajectories as the conversation unfolds.

Introduction

Qualitative interviews exist on a continuum, ranging from free-ranging, exploratory discussions to highly structured interviews. On one end is unstructured interviewing, deployed by approaches such as ethnography, grounded theory, and phenomenology. This style of interview involves a changing protocol that evolves based on participants’ responses and will differ from one participant to the next. On the other end of the continuum...

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Magaldi, D., Berler, M. (2020). Semi-structured Interviews. In: Zeigler-Hill, V., Shackelford, T.K. (eds) Encyclopedia of Personality and Individual Differences. Springer, Cham. https://doi.org/10.1007/978-3-319-24612-3_857

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What is a semi-structured interview?

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When designed correctly, user interviews go much deeper than surface-level survey responses. They can provide new information about how people interact with your products and services, and shed light on the underlying reasons behind these habits.

Semi-structured user interviews are widely considered one of the most effective tools for doing this kind of qualitative research , depending on your specific goals. As the name suggests, the semi-structured format allows for a more natural, conversational flow, while still being organized enough to collect plenty of actionable data .

Analyze semi-structured interviews

Bring all your semi-structured interviews into one place to analyze and understand

A semi-structured interview is a qualitative research method used to gain an in-depth understanding of the respondent's feelings and beliefs on specific topics. As the interviewer prepares the questions ahead of time, they can adjust the order, skip any that are redundant, or create new ones. Additionally, the interviewer should be prepared to ask follow-up questions and probe for more detail.

Semi-structured interviews typically last between 30 and 60 minutes and are usually conducted either in person or via a video call. Ideally, the interviewer can observe the participant's verbal and non-verbal cues in real-time, allowing them to adjust their approach accordingly. The interviewer aims for a conversational flow that helps the participant talk openly while still focusing on the primary topics being researched.

Once the interview is over, the researcher analyzes the data in detail to draw meaningful results. This involves sorting the data into categories and looking for patterns and trends. This semi-structured interview approach provides an ideal framework for obtaining open-ended data and insights.

When to use a semi-structured interview?

Semi-structured interviews are considered the "best of both worlds" as they tap into the strengths of structured and unstructured methods. Researchers can gather reliable data while also getting unexpected insights from in-depth user feedback.

Semi-structured interviews can be useful during any stage of the UX product-development process, including exploratory research to better understand a new market or service. Further down the line, this approach is ideal for refining existing designs and discovering areas for improvement. Semi-structured interviews can even be the first step when planning future research projects using another method of data collection.

Advantages of semi-structured interviews

Flexibility

This style of interview is meant to be adapted according to the answers and reactions of the respondent, which gives a lot of flexibility. Semi-structured interviews encourage two-way communication, allowing themes and ideas to emerge organically.

Respondent comfort

The semi-structured format feels more natural and casual for participants than a formal interview. This can help to build rapport and more meaningful dialogue.

Semi-structured interviews are excellent for user experience research because they provide rich, qualitative data about how people really experience your products and services.

Open-ended questions allow the respondent to provide nuanced answers, with the potential for more valuable insights than other forms of data collection, like structured interviews , surveys , or questionnaires.

Disadvantages of semi-structured interviews

Can be unpredictable

Less structure brings less control, especially if the respondent goes off tangent or doesn't provide useful information. If the conversation derails, it can take a lot of effort to bring the focus back to the relevant topics.

Lack of standardization

Every semi-structured interview is unique, including potentially different questions, so the responses collected are very subjective. This can make it difficult to draw meaningful conclusions from the data unless your team invests the time in a comprehensive analysis.

Compared to other research methods, unstructured interviews are not as consistent or "ready to use."

Best practices when preparing for a semi-structured interview

While semi-structured interviews provide a lot of flexibility, they still require thoughtful planning. Maximizing the potential of this research method will depend on having clear goals that help you narrow the focus of the interviews and keep each session on track.

After taking the time to specify these parameters, create an interview guide to serve as a framework for each conversation. This involves crafting a range of questions that can explore the necessary themes and steer the conversation in the right direction. Everything in your interview guide is optional (that's the beauty of being "semi" structured), but it's still an essential tool to help the conversation flow and collect useful data.

Best practices to consider while designing your interview questions include:

Prioritize open-ended questions

Promote a more interactive, meaningful dialogue by avoiding questions that can be answered with a simple yes or no, otherwise known as close-ended questions.

Stick with "what," "when," "who," "where," "why," and "how" questions, which allow the participant to go beyond the superficial to express their ideas and opinions. This approach also helps avoid jargon and needless complexity in your questions.

Open-ended questions help the interviewer uncover richer, qualitative details, which they can build on to get even more valuable insights.

Plan some follow-up questions

When preparing questions for the interview guide, consider the responses you're likely to get and pair them up with some effective, relevant follow-up questions. Factual questions should be followed by ones that ask an opinion.

Planning potential follow-up questions will help you to get the most out of a semi-structured interview. They allow you to delve deeper into the participant's responses or hone in on the most important themes of your research focus.

Follow-up questions are also invaluable when the interviewer feels stuck and needs a meaningful prompt to continue the conversation.

Avoid leading questions

Leading questions are framed toward a predetermined answer. This makes them likely to result in data that is biased, inaccurate, or otherwise unreliable.

For example, asking "Why do you think our services are a good solution?" or "How satisfied have you been with our services?" will leave the interviewee feeling pressured to agree with some baseline assumptions.

Interviewers must take the time to evaluate their questions and make a conscious effort to remove any potential bias that could get in the way of authentic feedback.

Asking neutral questions is key to encouraging honest responses in a semi-structured interview. For example, "What do you consider to be the advantages of using our services?" or simply "What has been your experience with using our services?"

Neutral questions are effective in capturing a broader range of opinions than closed questions, which is ultimately one of the biggest benefits of using semi-structured interviews for research.

Use the critical incident method

The critical incident method is an approach to interviewing that focuses on the past behavior of respondents, as opposed to hypothetical scenarios. One of the challenges of all interview research methods is that people are not great at accurately recalling past experiences, or answering future-facing, abstract questions.

The critical incident method helps avoid these limitations by asking participants to recall extreme situations or 'critical incidents' which stand out in their memory as either particularly positive or negative. Extreme situations are more vivid so they can be recalled more accurately, potentially providing more meaningful insights into the interviewee’s experience with your products or services.

Best practices while conducting semi-structured interviews

Encouraging interaction is the key to collecting more specific data than is typically possible during a formal interview. Facilitating an effective semi-structured interview is a balancing act between asking prepared questions and creating the space for organic conversation. Here are some guidelines for striking the right tone.

Beginning the interview

Make participants feel comfortable by introducing yourself and your role at the organization and displaying appropriate body language.

Outline the purpose of the interview to give them an idea of what to expect. For example, explain that you want to learn more about how people use your product or service.

It's also important to thank them for their time in advance and emphasize there are no right or wrong answers.

Practice active listening

Build trust and rapport throughout the interview with active listening techniques, focusing on being present and demonstrating that you're paying attention by responding thoughtfully. Engage with the participant by making eye contact, nodding, and giving verbal cues like "Okay, I see," "I understand," and "M-hm."

Avoid the temptation to rush to fill any silences while they're in the middle of responding, even if it feels awkward. Give them time to finish their train of thought before interrupting with feedback or another prompt. Embracing these silences is essential for active listening because it's a sign of a productive interview with meaningful, candid responses.

Practicing these techniques will ensure the respondent feels heard and respected, which is critical for gathering high-quality information.

Ask clarifying questions in real time

In a semi-structured interview, the researcher should always be on the lookout for opportunities to probe into the participant's thoughts and opinions.

Along with preparing follow-up questions, get in the habit of asking clarifying questions whenever possible. Clarifying questions are especially important for user interviews because people often provide vague responses when discussing how they interact with products and services.

Being asked to go deeper will encourage them to give more detail and show them you’re taking their opinions seriously and are genuinely interested in understanding their experiences.

Some clarifying questions that can be asked in real-time include:

"That's interesting. Could you give me some examples of X?"

"What do you mean when you say "X"?"

"Why is that?"

"It sounds like you're saying [rephrase their response], is that correct?"

Minimize note-taking

In a wide-ranging conversation, it's easy to miss out on potentially valuable insights by not staying focused on the user. This is why semi-structured interviews are generally recorded (audio or video), and it's common to have a second researcher present to take notes.

The person conducting the interview should avoid taking notes because it's a distraction from:

Keeping track of the conversation

Engaging with the user

Asking thought-provoking questions

Watching you take notes can also have the unintended effect of making the participant feel pressured to give shallower, shorter responses—the opposite of what you want.

Concluding the interview

Semi-structured interviews don't come with a set number of questions, so it can be tricky to bring them to an end. Give the participant a sense of closure by asking whether they have anything to add before wrapping up, or if they want to ask you any questions, and then give sincere thanks for providing honest feedback.

Don't stop abruptly once all the relevant topics have been discussed or you're nearing the end of the time that was set aside. Make them feel appreciated!

Analyzing the data from semi-structured interviews

In some ways, the real work of semi-structured interviews begins after all the conversations are over, and it's time to analyze the data you've collected. This process will focus on sorting and coding each interview to identify patterns, often using a mix of qualitative and quantitative methods.

Some of the strategies for making sense of semi-structured interviews include:

Thematic analysis : focuses on the content of the interviews and identifying common themes

Discourse analysis : looks at how people express feelings about themes such as those involving politics, culture, and power

Qualitative data mapping: a visual way to map out the correlations between different elements of the data

Narrative analysis : uses stories and language to unlock perspectives on an issue

Grounded theory : can be applied when there is no existing theory that could explain a new phenomenon

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v.7(2); 2019

Semistructured interviewing in primary care research: a balance of relationship and rigour

Melissa dejonckheere.

1 Department of Family Medicine, University of Michigan, Ann Arbor, Michigan, USA

Lisa M Vaughn

2 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA

3 Division of Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA

Associated Data

fmch-2018-000057supp001.pdf

Semistructured in-depth interviews are commonly used in qualitative research and are the most frequent qualitative data source in health services research. This method typically consists of a dialogue between researcher and participant, guided by a flexible interview protocol and supplemented by follow-up questions, probes and comments. The method allows the researcher to collect open-ended data, to explore participant thoughts, feelings and beliefs about a particular topic and to delve deeply into personal and sometimes sensitive issues. The purpose of this article was to identify and describe the essential skills to designing and conducting semistructured interviews in family medicine and primary care research settings. We reviewed the literature on semistructured interviewing to identify key skills and components for using this method in family medicine and primary care research settings. Overall, semistructured interviewing requires both a relational focus and practice in the skills of facilitation. Skills include: (1) determining the purpose and scope of the study; (2) identifying participants; (3) considering ethical issues; (4) planning logistical aspects; (5) developing the interview guide; (6) establishing trust and rapport; (7) conducting the interview; (8) memoing and reflection; (9) analysing the data; (10) demonstrating the trustworthiness of the research; and (11) presenting findings in a paper or report. Semistructured interviews provide an effective and feasible research method for family physicians to conduct in primary care research settings. Researchers using semistructured interviews for data collection should take on a relational focus and consider the skills of interviewing to ensure quality. Semistructured interviewing can be a powerful tool for family physicians, primary care providers and other health services researchers to use to understand the thoughts, beliefs and experiences of individuals. Despite the utility, semistructured interviews can be intimidating and challenging for researchers not familiar with qualitative approaches. In order to elucidate this method, we provide practical guidance for researchers, including novice researchers and those with few resources, to use semistructured interviewing as a data collection strategy. We provide recommendations for the essential steps to follow in order to best implement semistructured interviews in family medicine and primary care research settings.

Introduction

Semistructured interviews can be used by family medicine researchers in clinical settings or academic settings even with few resources. In contrast to large-scale epidemiological studies, or even surveys, a family medicine researcher can conduct a highly meaningful project with interviews with as few as 8–12 participants. For example, Chang and her colleagues, all family physicians, conducted semistructured interviews with 10 providers to understand their perspectives on weight gain in pregnant patients. 1 The interviewers asked questions about providers’ overall perceptions on weight gain, their clinical approach to weight gain during pregnancy and challenges when managing weight gain among pregnant patients. Additional examples conducted by or with family physicians or in primary care settings are summarised in table 1 . 1–6

Examples of research articles using semistructured interviews in primary care research

Article	Study purpose	Context/setting	Use of interviews
Chang T, Llanes M, Gold KJ, . Perspectives about and approaches to weight gain in pregnancy: a qualitative study of physicians and nurse midwives. 2013;13:47.	To explore prenatal care providers’ perspectives on patient weight gain during pregnancy	University hospital in the USA	10 semistructured interviews with prenatal care providers (family physicians, obstetricians, nurse midwives); thematic analysis
Croxson CH, Ashdown HF, Hobbs FR. GPs’ perceptions of workload in England: a qualitative interview study. 2017.	To understand perceptions of provider workload	NHS in England	34 semistructured interviews with general practitioners; thematic analysis
DeJonckheere M, Robinson CH, Evans L, Designing for clinical change: creating an intervention to implement new statin guidelines in a primary care clinic. 2018;5 .	To elicit provider perspectives of their uptake of new statin guidelines. To tailor a local quality improvement intervention to improve statin prescribing.	Veterans Affairs Medical Center in the USA	15 semistructured interviews with providers (primary care physicians and clinical pharmacists); deductive thematic analysis
Griffiths F, Lowe P, Boardman F, . Becoming pregnant: exploring the perspectives of women living with diabetes. 2008;58:184–90 .	To explore women's accounts of their journeys to becoming pregnant while living with type 1 diabetes	Four UK specialist diabetes antenatal clinics	15 semistructured interviews with women with pregestational type 1 diabetes; thematic analysis
Saigal P, Takemura Y, Nishiue T, Factors considered by medical students when formulating their specialty preferences in Japan: findings from a qualitative study 7:31, 2007.	To understand factors considered by Japanese medical students when choosing their specialty	Medical school in Japan	25 semistructured interviews with medical students, informal interviews with academic faculty, field notes; thematic analysis
Schoenborn NL, Lee K, Pollack CE, . Older adults’ preferences for when and how to discuss life expectancy in primary care. 2017;30:813–5.	To elucidate perspectives on how and when to discuss life expectancy with older adults	Four clinical programmes affiliated with an urban academic medical centre	40 semistructured interviews with community-dwelling older adults; qualitative content analysis

From our perspective as seasoned qualitative researchers, conducting effective semistructured interviews requires: (1) a relational focus, including active engagement and curiosity, and (2) practice in the skills of interviewing. First, a relational focus emphasises the unique relationship between interviewer and interviewee. To obtain quality data, interviews should not be conducted with a transactional question-answer approach but rather should be unfolding, iterative interactions between the interviewer and interviewee. Second, interview skills can be learnt. Some of us will naturally be more comfortable and skilful at conducting interviews but all aspects of interviews are learnable and through practice and feedback will improve. Throughout this article, we highlight strategies to balance relationship and rigour when conducting semistructured interviews in primary care and the healthcare setting.

Qualitative research interviews are ‘attempts to understand the world from the subjects’ point of view, to unfold the meaning of peoples’ experiences, to uncover their lived world prior to scientific explanations’ (p 1). 7 Qualitative research interviews unfold as an interviewer asks questions of the interviewee in order to gather subjective information about a particular topic or experience. Though the definitions and purposes of qualitative research interviews vary slightly in the literature, there is common emphasis on the experiences of interviewees and the ways in which the interviewee perceives the world (see table 2 for summary of definitions from seminal texts).

Definitions of qualitative interviews

Authors	Definition	Purpose
DiCicco-Bloom and Crabtree	Semistructured interviews are ‘organized around a set of predetermined open-ended questions, with other questions emerging from the dialogue between interviewer and interviewee/s’ (2006, p 315)	‘To contribute to a body of knowledge that is conceptual and theoretical and is based on the meanings that life experiences hold for the interviewees’ (2006, p 314)
Hatch	‘special kinds of conversations or speech events that are used by researchers to explore informants’ experiences and interpretations’ (2002, p. 91)	‘To uncover the meaning structures that participants use to organize their experiences and make sense of their worlds’ (2002, p 91)
Kvale	‘attempts to understand the world from the subjects' point of view, to unfold the meaning of peoples' experiences, to uncover their lived world prior to scientific explanations’ (1996, p 1)	‘To gather descriptions of the life-world of the interviewee with respect to interpretation of the meaning of the described phenomena’ (1983, p 174)
Josselson	‘a shared product of two people—one the interviewer, the other the interviewee—talk about and they talk together’ (2013, p 1)	‘To enter the world of the participant and try to understand how it looks and feels from the participant’s point of view’ (2013, p 80)

The most common type of interview used in qualitative research and the healthcare context is semistructured interview. 8 Figure 1 highlights the key features of this data collection method, which is guided by a list of topics or questions with follow-up questions, probes and comments. Typically, the sequencing and wording of the questions are modified by the interviewer to best fit the interviewee and interview context. Semistructured interviews can be conducted in multiple ways (ie, face to face, telephone, text/email, individual, group, brief, in-depth), each of which have advantages and disadvantages. We will focus on the most common form of semistructured interviews within qualitative research—individual, face-to-face, in-depth interviews.

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Key characteristics of semistructured interviews.

Purpose of semistructured interviews

The overall purpose of using semistructured interviews for data collection is to gather information from key informants who have personal experiences, attitudes, perceptions and beliefs related to the topic of interest. Researchers can use semistructured interviews to collect new, exploratory data related to a research topic, triangulate other data sources or validate findings through member checking (respondent feedback about research results). 9 If using a mixed methods approach, semistructured interviews can also be used in a qualitative phase to explore new concepts to generate hypotheses or explain results from a quantitative phase that tests hypotheses. Semistructured interviews are an effective method for data collection when the researcher wants: (1) to collect qualitative, open-ended data; (2) to explore participant thoughts, feelings and beliefs about a particular topic; and (3) to delve deeply into personal and sometimes sensitive issues.

Designing and conducting semistructured interviews

In the following section, we provide recommendations for the steps required to carefully design and conduct semistructured interviews with emphasis on applications in family medicine and primary care research (see table 3 ).

Steps to designing and conducting semistructured interviews

Step	Task
1	Determining the purpose and scope of the study
2	Identifying participants
3	Considering ethical issues
4	Planning logistical aspects
5	Developing the interview guide
6	Establishing trust and rapport
7	Conducting the interview
8	Memoing and reflection
9	Analysing the data
10	Demonstrating the trustworthiness of the research
11	Presenting findings in a paper or report

Steps for designing and conducting semistructured interviews

Step 1: determining the purpose and scope of the study.

The purpose of the study is the primary objective of your project and may be based on an anecdotal experience, a review of the literature or previous research finding. The purpose is developed in response to an identified gap or problem that needs to be addressed.

Research questions are the driving force of a study because they are associated with every other aspect of the design. They should be succinct and clearly indicate that you are using a qualitative approach. Qualitative research questions typically start with ‘What’, ‘How’ or ‘Why’ and focus on the exploration of a single concept based on participant perspectives. 10

Step 2: identifying participants

After deciding on the purpose of the study and research question(s), the next step is to determine who will provide the best information to answer the research question. Good interviewees are those who are available, willing to be interviewed and have lived experiences and knowledge about the topic of interest. 11 12 Working with gatekeepers or informants to get access to potential participants can be extremely helpful as they are trusted sources that control access to the target sample.

Sampling strategies are influenced by the research question and the purpose of the study. Unlike quantitative studies, statistical representativeness is not the goal of qualitative research. There is no calculation of statistical power and the goal is not a large sample size. Instead, qualitative approaches seek an in-depth and detailed understanding and typically use purposeful sampling. See the study of Hatch for a summary of various types of purposeful sampling that can be used for interview studies. 12

‘How many participants are needed?’ The most common answer is, ‘it depends’—it depends on the purpose of the study, what kind of study is planned and what questions the study is trying to answer. 12–14 One common standard in qualitative sample sizes is reaching thematic saturation, which refers to the point at which no new thematic information is gathered from participants. Malterud and colleagues discuss the concept of information power , or a qualitative equivalent to statistical power, to determine how many interviews should be collected in a study. They suggest that the size of a sample should depend on the aim, homogeneity of the sample, theory, interview quality and analytic strategy. 14

Step 3: considering ethical issues

An ethical attitude should be present from the very beginning of the research project even before you decide who to interview. 15 This ethical attitude should incorporate respect, sensitivity and tact towards participants throughout the research process. Because semistructured interviewing often requires the participant to reveal sensitive and personal information directly to the interviewer, it is important to consider the power imbalance between the researcher and the participant. In healthcare settings, the interviewer or researcher may be a part of the patient’s healthcare team or have contact with the healthcare team. The researchers should ensure the interviewee that their participation and answers will not influence the care they receive or their relationship with their providers. Other issues to consider include: reducing the risk of harm; protecting the interviewee’s information; adequately informing interviewees about the study purpose and format; and reducing the risk of exploitation. 10

Step 4: planning logistical aspects

Careful planning particularly around the technical aspects of interviews can be the difference between a great interview and a not so great interview. During the preparation phase, the researcher will need to plan and make decisions about the best ways to contact potential interviewees, obtain informed consent, arrange interview times and locations convenient for both participant and researcher, and test recording equipment. Although many experienced researchers have found themselves conducting interviews in less than ideal locations, the interview location should avoid (or at least minimise) interruptions and be appropriate for the interview (quiet, private and able to get a clear recording). 16 For some research projects, the participants’ homes may make sense as the best interview location. 16

Initial contacts can be made through telephone or email and followed up with more details so the individual can make an informed decision about whether they wish to be interviewed. Potential participants should know what to expect in terms of length of time, purpose of the study, why they have been selected and who will be there. In addition, participants should be informed that they can refuse to answer questions or can withdraw from the study at any time, including during the interview itself.

Audio recording the interview is recommended so that the interviewer can concentrate on the interview and build rapport rather than being distracted with extensive note taking 16 (see table 4 for audio-recording tips). Participants should be informed that audio recording is used for data collection and that they can refuse to be audio recorded should they prefer.

Suggestions for successful audio recording of interviews

Component	Suggestions
Clarity	Audio-recording equipment should clearly capture the interview so that both interviewer’s and interviewee’s voices are easily heard for transcription. Many interviewers use small battery-powered recorders but sometimes the microphones do not work well.
Reliable	Audio-recording equipment needs to be reliable and easy to use. Increasingly, researchers are using their smartphones to record interviews.
Familiarity	Whatever kind of recording equipment is used, the researcher needs to be familiar with it and should test it at the interview location before starting the actual interview—you do not want to be fumbling with technology during the interview.
Backup	If you are the sole interviewer and do not have an additional person taking notes, we recommend having two recording devices for each interview in case one device fails or runs out of batteries. Make sure to bring extra batteries.
Note-taking	Some researchers recommend taking notes or having a partner take notes during the interviews in addition to the audio recording. Taking notes can ensure that all interview questions have been answered, guide follow-up questions so that the interview can flow from the interviewee’s lead and serve as a backup in the case of malfunctioning recorders.

Most researchers will want to have interviews transcribed verbatim from the audio recording. This allows you to refer to the exact words of participants during the analysis. Although it is possible to conduct analyses from the audio recordings themselves or from notes, it is not ideal. However, transcription can be extremely time consuming and, if not done yourself, can be costly.

In the planning phase of research, you will want to consider whether qualitative research software (eg, NVivo, ATLAS.ti, MAXQDA, Dedoose, and so on) will be used to assist with organising, managing and analysis. While these tools are helpful in the management of qualitative data, it is important to consider your research budget, the cost of the software and the learning curve associated with using a new system.

Step 5: developing the interview guide

Semistructured interviews include a short list of ‘guiding’ questions that are supplemented by follow-up and probing questions that are dependent on the interviewee’s responses. 8 17 All questions should be open ended, neutral, clear and avoid leading language. In addition, questions should use familiar language and avoid jargon.

Most interviews will start with an easy, context-setting question before moving to more difficult or in-depth questions. 17 Table 5 gives details of the types of guiding questions including ‘grand tour’ questions, 18 core questions and planned and unplanned follow-up questions.

Questions and prompts in semistructured interviewing

Type of question	Definition	Purpose	Example
Grand tour	General question related to the content of the overall research question, which participant knows a lot about
Core questions	Five to 10 questions that directly relate to the information the researcher wants to know
Planned follow-up questions	Specific questions that ask for more details about particular aspects of the core questions
Unplanned follow-up questions	Questions that arise during the interview based on participant responses

To illustrate, online supplementary appendix A presents a sample interview guide from our study of weight gain during pregnancy among young women. We start with the prompt, ‘Tell me about how your pregnancy has been so far’ to initiate conversation about their thoughts and feelings during pregnancy. The subsequent questions will elicit responses to help answer our research question about young women’s perspectives related to weight gain during pregnancy.

Supplementary data

After developing the guiding questions, it is important to pilot test the interview. Having a good sense of the guide helps you to pace the interview (and not run out of time), use a conversational tone and make necessary adjustments to the questions.

Like all qualitative research, interviewing is iterative in nature—data collection and analysis occur simultaneously, which may result in changes to the guiding questions as the study progresses. Questions that are not effective may be replaced with other questions and additional probes can be added to explore new topics that are introduced by participants in previous interviews. 10

Step 6: establishing trust and rapport

Interviews are a special form of relationship, where the interviewer and interviewee converse about important and often personal topics. The interviewer must build rapport quickly by listening attentively and respectfully to the information shared by the interviewee. 19 As the interview progresses, the interviewer must continue to demonstrate respect, encourage the interviewee to share their perspectives and acknowledge the sensitive nature of the conversation. 20

To establish rapport, it is important to be authentic and open to the interviewee’s point of view. It is possible that the participants you recruit for your study will have preconceived notions about research, which may include mistrust. As a result, it is important to describe why you are conducting the research and how their participation is meaningful. In an interview relationship, the interviewee is the expert and should be treated as such—you are relying on the interviewee to enhance your understanding and add to your research. Small behaviours that can enhance rapport include: dressing professionally but not overly formal; avoiding jargon or slang; and using a normal conversational tone. Because interviewees will be discussing their experience, having some awareness of contextual or cultural factors that may influence their perspectives may be helpful as background knowledge.

Step 7: conducting the interview

Location and set-up.

The interview should have already been scheduled at a convenient time and location for the interviewee. The location should be private, ideally with a closed door, rather than a public place. It is helpful if there is a room where you can speak privately without interruption, and where it is quiet enough to hear and audio record the interview. Within the interview space, Josselson 15 suggests an arrangement with a comfortable distance between the interviewer and interviewee with a low table in between for the recorder and any materials (consent forms, questionnaires, water, and so on).

Beginning the interview

Many interviewers start with chatting to break the ice and attempt to establish commonalities, rapport and trust. Most interviews will need to begin with a brief explanation of the research study, consent/assent procedures, rationale for talking to that particular interviewee and description of the interview format and agenda. 11 It can also be helpful if the interviewer shares a little about who they are and why they are interested in the topic. The recording equipment should have already been tested thoroughly but interviewers may want to double-check that the audio equipment is working and remind participants about the reason for recording.

Interviewer stance

During the interview, the interviewer should adopt a friendly and non-judgemental attitude. You will want to maintain a warm and conversational tone, rather than a rote, question-answer approach. It is important to recognise the potential power differential as a researcher. Conveying a sense of being in the interview together and that you as the interviewer are a person just like the interviewee can help ease any discomfort. 15

Active listening

During a face-to-face interview, there is an opportunity to observe social and non-verbal cues of the interviewee. These cues may come in the form of voice, body language, gestures and intonation, and can supplement the interviewee’s verbal response and can give clues to the interviewer about the process of the interview. 21 Listening is the key to successful interviewing. 22 Listening should be ‘attentive, empathic, nonjudgmental, listening in order to invite, and engender talk’ 15 15 (p 66). Silence, nods, smiles and utterances can also encourage further elaboration from the interviewee.

Continuing the interview

As the interview progresses, the interviewer can repeat the words used by the interviewee, use planned and unplanned follow-up questions that invite further clarification, exploration or elaboration. As DiCicco-Bloom and Crabtree 10 explain: ‘Throughout the interview, the goal of the interviewer is to encourage the interviewee to share as much information as possible, unselfconsciously and in his or her own words’ (p 317). Some interviewees are more forthcoming and will offer many details of their experiences without much probing required. Others will require prompting and follow-up to elicit sufficient detail.

As a result, follow-up questions are equally important to the core questions in a semistructured interview. Prompts encourage people to continue talking and they can elicit more details needed to understand the topic. Examples of verbal probes are repeating the participant’s words, summarising the main idea or expressing interest with verbal agreement. 8 11 See table 6 for probing techniques and example probes we have used in our own interviewing.

Probing techniques for semistructured interviews (modified from Bernard 30 )

Probing technique	Description	Example
Wait time	Interviewer remains silent after asking a question. This allows the interviewee to think about their response and often encourages the interviewee to speak.	(Wait, do not respond with additional questioning until participant speaks)
Echo	Interviewer repeats or summarises the participant’s words, encouraging them to go into more detail.	.
Verbal agreement	Interviewer uses affirming words to encourage the interviewee to continue speaking.
Expansion	Interviewer asks participant to elaborate on a particular response.	. .
Explanation	Interviewer asks participant to clarify a specific comment.
Leading	Interviewer asks interviewee to explain their reasoning.	.

Step 8: memoing and reflection

After an interview, it is essential for the interviewer to begin to reflect on both the process and the content of the interview. During the actual interview, it can be difficult to take notes or begin reflecting. Even if you think you will remember a particular moment, you likely will not be able to recall each moment with sufficient detail. Therefore, interviewers should always record memos —notes about what you are learning from the data. 23 24 There are different approaches to recording memos: you can reflect on several specific ideas, or create a running list of thoughts. Memos are also useful for improving the quality of subsequent interviews.

Step 9: analysing the data

The data analysis strategy should also be developed during planning stages because analysis occurs concurrently with data collection. 25 The researcher will take notes, modify the data collection procedures and write reflective memos throughout the data collection process. This begins the process of data analysis.

The data analysis strategy used in your study will depend on your research question and qualitative design—see the study of Creswell for an overview of major qualitative approaches. 26 The general process for analysing and interpreting most interviews involves reviewing the data (in the form of transcripts, audio recordings or detailed notes), applying descriptive codes to the data and condensing and categorising codes to look for patterns. 24 27 These patterns can exist within a single interview or across multiple interviews depending on the research question and design. Qualitative computer software programs can be used to help organise and manage interview data.

Step 10: demonstrating the trustworthiness of the research

Similar to validity and reliability, qualitative research can be assessed on trustworthiness. 9 28 There are several criteria used to establish trustworthiness: credibility (whether the findings accurately and fairly represent the data), transferability (whether the findings can be applied to other settings and contexts), confirmability (whether the findings are biased by the researcher) and dependability (whether the findings are consistent and sustainable over time).

Step 11: presenting findings in a paper or report

When presenting the results of interview analysis, researchers will often report themes or narratives that describe the broad range of experiences evidenced in the data. This involves providing an in-depth description of participant perspectives and being sure to include multiple perspectives. 12 In interview research, the participant words are your data. Presenting findings in a report requires the integration of quotes into a more traditional written format.

Conclusions

Though semistructured interviews are often an effective way to collect open-ended data, there are some disadvantages as well. One common problem with interviewing is that not all interviewees make great participants. 12 29 Some individuals are hard to engage in conversation or may be reluctant to share about sensitive or personal topics. Difficulty interviewing some participants can affect experienced and novice interviewers. Some common problems include not doing a good job of probing or asking for follow-up questions, failure to actively listen, not having a well-developed interview guide with open-ended questions and asking questions in an insensitive way. Outside of pitfalls during the actual interview, other problems with semistructured interviewing may be underestimating the resources required to recruit participants, interview, transcribe and analyse the data.

Despite their limitations, semistructured interviews can be a productive way to collect open-ended data from participants. In our research, we have interviewed children and adolescents about their stress experiences and coping behaviours, young women about their thoughts and behaviours during pregnancy, practitioners about the care they provide to patients and countless other key informants about health-related topics. Because the intent is to understand participant experiences, the possible research topics are endless.

Due to the close relationships family physicians have with their patients, the unique settings in which they work, and in their advocacy, semistructured interviews are an attractive approach for family medicine researchers, even if working in a setting with limited research resources. When seeking to balance both the relational focus of interviewing and the necessary rigour of research, we recommend: prioritising listening over talking; using clear language and avoiding jargon; and deeply engaging in the interview process by actively listening, expressing empathy, demonstrating openness to the participant’s worldview and thanking the participant for helping you to understand their experience.

Interviews in the social sciences

Eleanor Knott ORCID: orcid.org/0000-0002-9131-3939 1 ,
Aliya Hamid Rao ORCID: orcid.org/0000-0003-0674-4206 1 ,
Kate Summers ORCID: orcid.org/0000-0001-9964-0259 1 &
Chana Teeger ORCID: orcid.org/0000-0002-5046-8280 1

Nature Reviews Methods Primers volume 2 , Article number: 73 ( 2022 ) Cite this article

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Interdisciplinary studies

In-depth interviews are a versatile form of qualitative data collection used by researchers across the social sciences. They allow individuals to explain, in their own words, how they understand and interpret the world around them. Interviews represent a deceptively familiar social encounter in which people interact by asking and answering questions. They are, however, a very particular type of conversation, guided by the researcher and used for specific ends. This dynamic introduces a range of methodological, analytical and ethical challenges, for novice researchers in particular. In this Primer, we focus on the stages and challenges of designing and conducting an interview project and analysing data from it, as well as strategies to overcome such challenges.

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Introduction.

In-depth interviews are a qualitative research method that follow a deceptively familiar logic of human interaction: they are conversations where people talk with each other, interact and pose and answer questions 1 . An interview is a specific type of interaction in which — usually and predominantly — a researcher asks questions about someone’s life experience, opinions, dreams, fears and hopes and the interview participant answers the questions 1 .

Interviews will often be used as a standalone method or combined with other qualitative methods, such as focus groups or ethnography, or quantitative methods, such as surveys or experiments. Although interviewing is a frequently used method, it should not be viewed as an easy default for qualitative researchers 2 . Interviews are also not suited to answering all qualitative research questions, but instead have specific strengths that should guide whether or not they are deployed in a research project. Whereas ethnography might be better suited to trying to observe what people do, interviews provide a space for extended conversations that allow the researcher insights into how people think and what they believe. Quantitative surveys also give these kinds of insights, but they use pre-determined questions and scales, privileging breadth over depth and often overlooking harder-to-reach participants.

In-depth interviews can take many different shapes and forms, often with more than one participant or researcher. For example, interviews might be highly structured (using an almost survey-like interview guide), entirely unstructured (taking a narrative and free-flowing approach) or semi-structured (using a topic guide ). Researchers might combine these approaches within a single project depending on the purpose of the interview and the characteristics of the participant. Whatever form the interview takes, researchers should be mindful of the dynamics between interviewer and participant and factor these in at all stages of the project.

In this Primer, we focus on the most common type of interview: one researcher taking a semi-structured approach to interviewing one participant using a topic guide. Focusing on how to plan research using interviews, we discuss the necessary stages of data collection. We also discuss the stages and thought-process behind analysing interview material to ensure that the richness and interpretability of interview material is maintained and communicated to readers. The Primer also tracks innovations in interview methods and discusses the developments we expect over the next 5–10 years.

We wrote this Primer as researchers from sociology, social policy and political science. We note our disciplinary background because we acknowledge that there are disciplinary differences in how interviews are approached and understood as a method.

Experimentation

Here we address research design considerations and data collection issues focusing on topic guide construction and other pragmatics of the interview. We also explore issues of ethics and reflexivity that are crucial throughout the research project.

Research design

Participant selection.

Participants can be selected and recruited in various ways for in-depth interview studies. The researcher must first decide what defines the people or social groups being studied. Often, this means moving from an abstract theoretical research question to a more precise empirical one. For example, the researcher might be interested in how people talk about race in contexts of diversity. Empirical settings in which this issue could be studied could include schools, workplaces or adoption agencies. The best research designs should clearly explain why the particular setting was chosen. Often there are both intrinsic and extrinsic reasons for choosing to study a particular group of people at a specific time and place 3 . Intrinsic motivations relate to the fact that the research is focused on an important specific social phenomenon that has been understudied. Extrinsic motivations speak to the broader theoretical research questions and explain why the case at hand is a good one through which to address them empirically.

Next, the researcher needs to decide which types of people they would like to interview. This decision amounts to delineating the inclusion and exclusion criteria for the study. The criteria might be based on demographic variables, like race or gender, but they may also be context-specific, for example, years of experience in an organization. These should be decided based on the research goals. Researchers should be clear about what characteristics would make an individual a candidate for inclusion in the study (and what would exclude them).

The next step is to identify and recruit the study’s sample . Usually, many more people fit the inclusion criteria than can be interviewed. In cases where lists of potential participants are available, the researcher might want to employ stratified sampling , dividing the list by characteristics of interest before sampling.

When there are no lists, researchers will often employ purposive sampling . Many researchers consider purposive sampling the most useful mode for interview-based research since the number of interviews to be conducted is too small to aim to be statistically representative 4 . Instead, the aim is not breadth, via representativeness, but depth via rich insights about a set of participants. In addition to purposive sampling, researchers often use snowball sampling . Both purposive and snowball sampling can be combined with quota sampling . All three types of sampling aim to ensure a variety of perspectives within the confines of a research project. A goal for in-depth interview studies can be to sample for range, being mindful of recruiting a diversity of participants fitting the inclusion criteria.

Study design

The total number of interviews depends on many factors, including the population studied, whether comparisons are to be made and the duration of interviews. Studies that rely on quota sampling where explicit comparisons are made between groups will require a larger number of interviews than studies focused on one group only. Studies where participants are interviewed over several hours, days or even repeatedly across years will tend to have fewer participants than those that entail a one-off engagement.

Researchers often stop interviewing when new interviews confirm findings from earlier interviews with no new or surprising insights (saturation) 4 , 5 , 6 . As a criterion for research design, saturation assumes that data collection and analysis are happening in tandem and that researchers will stop collecting new data once there is no new information emerging from the interviews. This is not always possible. Researchers rarely have time for systematic data analysis during data collection and they often need to specify their sample in funding proposals prior to data collection. As a result, researchers often draw on existing reports of saturation to estimate a sample size prior to data collection. These suggest between 12 and 20 interviews per category of participant (although researchers have reported saturation with samples that are both smaller and larger than this) 7 , 8 , 9 . The idea of saturation has been critiqued by many qualitative researchers because it assumes that meaning inheres in the data, waiting to be discovered — and confirmed — once saturation has been reached 7 . In-depth interview data are often multivalent and can give rise to different interpretations. The important consideration is, therefore, not merely how many participants are interviewed, but whether one’s research design allows for collecting rich and textured data that provide insight into participants’ understandings, accounts, perceptions and interpretations.

Sometimes, researchers will conduct interviews with more than one participant at a time. Researchers should consider the benefits and shortcomings of such an approach. Joint interviews may, for example, give researchers insight into how caregivers agree or debate childrearing decisions. At the same time, they may be less adaptive to exploring aspects of caregiving that participants may not wish to disclose to each other. In other cases, there may be more than one person interviewing each participant, such as when an interpreter is used, and so it is important to consider during the research design phase how this might shape the dynamics of the interview.

Data collection

Semi-structured interviews are typically organized around a topic guide comprised of an ordered set of broad topics (usually 3–5). Each topic includes a set of questions that form the basis of the discussion between the researcher and participant (Fig. 1 ). These topics are organized around key concepts that the researcher has identified (for example, through a close study of prior research, or perhaps through piloting a small, exploratory study) 5 .

a | Elaborated topics the researcher wants to cover in the interview and example questions. b | An example topic arc. Using such an arc, one can think flexibly about the order of topics. Considering the main question for each topic will help to determine the best order for the topics. After conducting some interviews, the researcher can move topics around if a different order seems to make sense.

Topic guide

One common way to structure a topic guide is to start with relatively easy, open-ended questions (Table 1 ). Opening questions should be related to the research topic but broad and easy to answer, so that they help to ease the participant into conversation.

After these broad, opening questions, the topic guide may move into topics that speak more directly to the overarching research question. The interview questions will be accompanied by probes designed to elicit concrete details and examples from the participant (see Table 1 ).

Abstract questions are often easier for participants to answer once they have been asked more concrete questions. In our experience, for example, questions about feelings can be difficult for some participants to answer, but when following probes concerning factual experiences these questions can become less challenging. After the main themes of the topic guide have been covered, the topic guide can move onto closing questions. At this stage, participants often repeat something they have said before, although they may sometimes introduce a new topic.

Interviews are especially well suited to gaining a deeper insight into people’s experiences. Getting these insights largely depends on the participants’ willingness to talk to the researcher. We recommend designing open-ended questions that are more likely to elicit an elaborated response and extended reflection from participants rather than questions that can be answered with yes or no.

Questions should avoid foreclosing the possibility that the participant might disagree with the premise of the question. Take for example the question: “Do you support the new family-friendly policies?” This question minimizes the possibility of the participant disagreeing with the premise of this question, which assumes that the policies are ‘family-friendly’ and asks for a yes or no answer. Instead, asking more broadly how a participant feels about the specific policy being described as ‘family-friendly’ (for example, a work-from-home policy) allows them to express agreement, disagreement or impartiality and, crucially, to explain their reasoning 10 .

For an uninterrupted interview that will last between 90 and 120 minutes, the topic guide should be one to two single-spaced pages with questions and probes. Ideally, the researcher will memorize the topic guide before embarking on the first interview. It is fine to carry a printed-out copy of the topic guide but memorizing the topic guide ahead of the interviews can often make the interviewer feel well prepared in guiding the participant through the interview process.

Although the topic guide helps the researcher stay on track with the broad areas they want to cover, there is no need for the researcher to feel tied down by the topic guide. For instance, if a participant brings up a theme that the researcher intended to discuss later or a point the researcher had not anticipated, the researcher may well decide to follow the lead of the participant. The researcher’s role extends beyond simply stating the questions; it entails listening and responding, making split-second decisions about what line of inquiry to pursue and allowing the interview to proceed in unexpected directions.

Optimizing the interview

The ideal place for an interview will depend on the study and what is feasible for participants. Generally, a place where the participant and researcher can both feel relaxed, where the interview can be uninterrupted and where noise or other distractions are limited is ideal. But this may not always be possible and so the researcher needs to be prepared to adapt their plans within what is feasible (and desirable for participants).

Another key tool for the interview is a recording device (assuming that permission for recording has been given). Recording can be important to capture what the participant says verbatim. Additionally, it can allow the researcher to focus on determining what probes and follow-up questions they want to pursue rather than focusing on taking notes. Sometimes, however, a participant may not allow the researcher to record, or the recording may fail. If the interview is not recorded we suggest that the researcher takes brief notes during the interview, if feasible, and then thoroughly make notes immediately after the interview and try to remember the participant’s facial expressions, gestures and tone of voice. Not having a recording of an interview need not limit the researcher from getting analytical value from it.

As soon as possible after each interview, we recommend that the researcher write a one-page interview memo comprising three key sections. The first section should identify two to three important moments from the interview. What constitutes important is up to the researcher’s discretion 9 . The researcher should note down what happened in these moments, including the participant’s facial expressions, gestures, tone of voice and maybe even the sensory details of their surroundings. This exercise is about capturing ethnographic detail from the interview. The second part of the interview memo is the analytical section with notes on how the interview fits in with previous interviews, for example, where the participant’s responses concur or diverge from other responses. The third part consists of a methodological section where the researcher notes their perception of their relationship with the participant. The interview memo allows the researcher to think critically about their positionality and practice reflexivity — key concepts for an ethical and transparent research practice in qualitative methodology 11 , 12 .

Ethics and reflexivity

All elements of an in-depth interview can raise ethical challenges and concerns. Good ethical practice in interview studies often means going beyond the ethical procedures mandated by institutions 13 . While discussions and requirements of ethics can differ across disciplines, here we focus on the most pertinent considerations for interviews across the research process for an interdisciplinary audience.

Ethical considerations prior to interview

Before conducting interviews, researchers should consider harm minimization, informed consent, anonymity and confidentiality, and reflexivity and positionality. It is important for the researcher to develop their own ethical sensitivities and sensibilities by gaining training in interview and qualitative methods, reading methodological and field-specific texts on interviews and ethics and discussing their research plans with colleagues.

Researchers should map the potential harm to consider how this can be minimized. Primarily, researchers should consider harm from the participants’ perspective (Box 1 ). But, it is also important to consider and plan for potential harm to the researcher, research assistants, gatekeepers, future researchers and members of the wider community 14 . Even the most banal of research topics can potentially pose some form of harm to the participant, researcher and others — and the level of harm is often highly context-dependent. For example, a research project on religion in society might have very different ethical considerations in a democratic versus authoritarian research context because of how openly or not such topics can be discussed and debated 15 .

The researcher should consider how they will obtain and record informed consent (for example, written or oral), based on what makes the most sense for their research project and context 16 . Some institutions might specify how informed consent should be gained. Regardless of how consent is obtained, the participant must be made aware of the form of consent, the intentions and procedures of the interview and potential forms of harm and benefit to the participant or community before the interview commences. Moreover, the participant must agree to be interviewed before the interview commences. If, in addition to interviews, the study contains an ethnographic component, it is worth reading around this topic (see, for example, Murphy and Dingwall 17 ). Informed consent must also be gained for how the interview will be recorded before the interview commences. These practices are important to ensure the participant is contributing on a voluntary basis. It is also important to remind participants that they can withdraw their consent at any time during the interview and for a specified period after the interview (to be decided with the participant). The researcher should indicate that participants can ask for anything shared to be off the record and/or not disseminated.

In terms of anonymity and confidentiality, it is standard practice when conducting interviews to agree not to use (or even collect) participants’ names and personal details that are not pertinent to the study. Anonymizing can often be the safer option for minimizing harm to participants as it is hard to foresee all the consequences of de-anonymizing, even if participants agree. Regardless of what a researcher decides, decisions around anonymity must be agreed with participants during the process of gaining informed consent and respected following the interview.

Although not all ethical challenges can be foreseen or planned for 18 , researchers should think carefully — before the interview — about power dynamics, participant vulnerability, emotional state and interactional dynamics between interviewer and participant, even when discussing low-risk topics. Researchers may then wish to plan for potential ethical issues, for example by preparing a list of relevant organizations to which participants can be signposted. A researcher interviewing a participant about debt, for instance, might prepare in advance a list of debt advice charities, organizations and helplines that could provide further support and advice. It is important to remember that the role of an interviewer is as a researcher rather than as a social worker or counsellor because researchers may not have relevant and requisite training in these other domains.

Box 1 Mapping potential forms of harm

Social: researchers should avoid causing any relational detriment to anyone in the course of interviews, for example, by sharing information with other participants or causing interview participants to be shunned or mistreated by their community as a result of participating.

Economic: researchers should avoid causing financial detriment to anyone, for example, by expecting them to pay for transport to be interviewed or to potentially lose their job as a result of participating.

Physical: researchers should minimize the risk of anyone being exposed to violence as a result of the research both from other individuals or from authorities, including police.

Psychological: researchers should minimize the risk of causing anyone trauma (or re-traumatization) or psychological anguish as a result of the research; this includes not only the participant but importantly the researcher themselves and anyone that might read or analyse the transcripts, should they contain triggering information.

Political: researchers should minimize the risk of anyone being exposed to political detriment as a result of the research, such as retribution.

Professional/reputational: researchers should minimize the potential for reputational damage to anyone connected to the research (this includes ensuring good research practices so that any researchers involved are not harmed reputationally by being involved with the research project).

The task here is not to map exhaustively the potential forms of harm that might pertain to a particular research project (that is the researcher’s job and they should have the expertise most suited to mapping such potential harms relative to the specific project) but to demonstrate the breadth of potential forms of harm.

Ethical considerations post-interview

Researchers should consider how interview data are stored, analysed and disseminated. If participants have been offered anonymity and confidentiality, data should be stored in a way that does not compromise this. For example, researchers should consider removing names and any other unnecessary personal details from interview transcripts, password-protecting and encrypting files and using pseudonyms to label and store all interview data. It is also important to address where interview data are taken (for example, across borders in particular where interview data might be of interest to local authorities) and how this might affect the storage of interview data.

Examining how the researcher will represent participants is a paramount ethical consideration both in the planning stages of the interview study and after it has been conducted. Dissemination strategies also need to consider questions of anonymity and representation. In small communities, even if participants are given pseudonyms, it might be obvious who is being described. Anonymizing not only the names of those participating but also the research context is therefore a standard practice 19 . With particularly sensitive data or insights about the participant, it is worth considering describing participants in a more abstract way rather than as specific individuals. These practices are important both for protecting participants’ anonymity but can also affect the ability of the researcher and others to return ethically to the research context and similar contexts 20 .

Reflexivity and positionality

Reflexivity and positionality mean considering the researcher’s role and assumptions in knowledge production 13 . A key part of reflexivity is considering the power relations between the researcher and participant within the interview setting, as well as how researchers might be perceived by participants. Further, researchers need to consider how their own identities shape the kind of knowledge and assumptions they bring to the interview, including how they approach and ask questions and their analysis of interviews (Box 2 ). Reflexivity is a necessary part of developing ethical sensibility as a researcher by adapting and reflecting on how one engages with participants. Participants should not feel judged, for example, when they share information that researchers might disagree with or find objectionable. How researchers deal with uncomfortable moments or information shared by participants is at their discretion, but they should consider how they will react both ahead of time and in the moment.

Researchers can develop their reflexivity by considering how they themselves would feel being asked these interview questions or represented in this way, and then adapting their practice accordingly. There might be situations where these questions are not appropriate in that they unduly centre the researchers’ experiences and worldview. Nevertheless, these prompts can provide a useful starting point for those beginning their reflexive journey and developing an ethical sensibility.

Reflexivity and ethical sensitivities require active reflection throughout the research process. For example, researchers should take care in interview memos and their notes to consider their assumptions, potential preconceptions, worldviews and own identities prior to and after interviews (Box 2 ). Checking in with assumptions can be a way of making sure that researchers are paying close attention to their own theoretical and analytical biases and revising them in accordance with what they learn through the interviews. Researchers should return to these notes (especially when analysing interview material), to try to unpack their own effects on the research process as well as how participants positioned and engaged with them.

Box 2 Aspects to reflect on reflexively

For reflexive engagement, and understanding the power relations being co-constructed and (re)produced in interviews, it is necessary to reflect, at a minimum, on the following.

Ethnicity, race and nationality, such as how does privilege stemming from race or nationality operate between the researcher, the participant and research context (for example, a researcher from a majority community may be interviewing a member of a minority community)

Gender and sexuality, see above on ethnicity, race and nationality

Social class, and in particular the issue of middle-class bias among researchers when formulating research and interview questions

Economic security/precarity, see above on social class and thinking about the researcher’s relative privilege and the source of biases that stem from this

Educational experiences and privileges, see above

Disciplinary biases, such as how the researcher’s discipline/subfield usually approaches these questions, possibly normalizing certain assumptions that might be contested by participants and in the research context

Political and social values

Lived experiences and other dimensions of ourselves that affect and construct our identity as researchers

In this section, we discuss the next stage of an interview study, namely, analysing the interview data. Data analysis may begin while more data are being collected. Doing so allows early findings to inform the focus of further data collection, as part of an iterative process across the research project. Here, the researcher is ultimately working towards achieving coherence between the data collected and the findings produced to answer successfully the research question(s) they have set.

The two most common methods used to analyse interview material across the social sciences are thematic analysis 21 and discourse analysis 22 . Thematic analysis is a particularly useful and accessible method for those starting out in analysis of qualitative data and interview material as a method of coding data to develop and interpret themes in the data 21 . Discourse analysis is more specialized and focuses on the role of discourse in society by paying close attention to the explicit, implicit and taken-for-granted dimensions of language and power 22 , 23 . Although thematic and discourse analysis are often discussed as separate techniques, in practice researchers might flexibly combine these approaches depending on the object of analysis. For example, those intending to use discourse analysis might first conduct thematic analysis as a way to organize and systematize the data. The object and intention of analysis might differ (for example, developing themes or interrogating language), but the questions facing the researcher (such as whether to take an inductive or deductive approach to analysis) are similar.

Preparing data

Data preparation is an important step in the data analysis process. The researcher should first determine what comprises the corpus of material and in what form it will it be analysed. The former refers to whether, for example, alongside the interviews themselves, analytic memos or observational notes that may have been taken during data collection will also be directly analysed. The latter refers to decisions about how the verbal/audio interview data will be transformed into a written form, making it suitable for processes of data analysis. Typically, interview audio recordings are transcribed to produce a written transcript. It is important to note that the process of transcription is one of transformation. The verbal interview data are transformed into a written transcript through a series of decisions that the researcher must make. The researcher should consider the effect of mishearing what has been said or how choosing to punctuate a sentence in a particular way will affect the final analysis.

Box 3 shows an example transcript excerpt from an interview with a teacher conducted by Teeger as part of her study of history education in post-apartheid South Africa 24 (Box 3 ). Seeing both the questions and the responses means that the reader can contextualize what the participant (Ms Mokoena) has said. Throughout the transcript the researcher has used square brackets, for example to indicate a pause in speech, when Ms Mokoena says “it’s [pause] it’s a difficult topic”. The transcription choice made here means that we see that Ms Mokoena has taken time to pause, perhaps to search for the right words, or perhaps because she has a slight apprehension. Square brackets are also included as an overt act of communication to the reader. When Ms Mokoena says “ja”, the English translation (“yes”) of the word in Afrikaans is placed in square brackets to ensure that the reader can follow the meaning of the speech.

Decisions about what to include when transcribing will be hugely important for the direction and possibilities of analysis. Researchers should decide what they want to capture in the transcript, based on their analytic focus. From a (post)positivist perspective 25 , the researcher may be interested in the manifest content of the interview (such as what is said, not how it is said). In that case, they may choose to transcribe intelligent verbatim . From a constructivist perspective 25 , researchers may choose to record more aspects of speech (including, for example, pauses, repetitions, false starts, talking over one another) so that these features can be analysed. Those working from this perspective argue that to recognize the interactional nature of the interview setting adequately and to avoid misinterpretations, features of interaction (pauses, overlaps between speakers and so on) should be preserved in transcription and therefore in the analysis 10 . Readers interested in learning more should consult Potter and Hepburn’s summary of how to present interaction through transcription of interview data 26 .

The process of analysing semi-structured interviews might be thought of as a generative rather than an extractive enterprise. Findings do not already exist within the interview data to be discovered. Rather, researchers create something new when analysing the data by applying their analytic lens or approach to the transcripts. At a high level, there are options as to what researchers might want to glean from their interview data. They might be interested in themes, whereby they identify patterns of meaning across the dataset 21 . Alternatively, they may focus on discourse(s), looking to identify how language is used to construct meanings and therefore how language reinforces or produces aspects of the social world 27 . Alternatively, they might look at the data to understand narrative or biographical elements 28 .

A further overarching decision to make is the extent to which researchers bring predetermined framings or understandings to bear on their data, or instead begin from the data themselves to generate an analysis. One way of articulating this is the extent to which researchers take a deductive approach or an inductive approach to analysis. One example of a truly inductive approach is grounded theory, whereby the aim of the analysis is to build new theory, beginning with one’s data 6 , 29 . In practice, researchers using thematic and discourse analysis often combine deductive and inductive logics and describe their process instead as iterative (referred to also as an abductive approach ) 30 , 31 . For example, researchers may decide that they will apply a given theoretical framing, or begin with an initial analytic framework, but then refine or develop these once they begin the process of analysis.

Box 3 Excerpt of interview transcript (from Teeger 24 )

Interviewer : Maybe you could just start by talking about what it’s like to teach apartheid history.

Ms Mokoena : It’s a bit challenging. You’ve got to accommodate all the kids in the class. You’ve got to be sensitive to all the racial differences. You want to emphasize the wrongs that were done in the past but you also want to, you know, not to make kids feel like it’s their fault. So you want to use the wrongs of the past to try and unite the kids …

Interviewer : So what kind of things do you do?

Ms Mokoena : Well I normally highlight the fact that people that were struggling were not just the blacks, it was all the races. And I give examples of the people … from all walks of life, all races, and highlight how they suffered as well as a result of apartheid, particularly the whites… . What I noticed, particularly my first year of teaching apartheid, I noticed that the black kids made the others feel responsible for what happened… . I had a lot of fights…. A lot of kids started hating each other because, you know, the others are white and the others were black. And they started saying, “My mother is a domestic worker because she was never allowed an opportunity to get good education.” …

Interviewer : I didn’t see any of that now when I was observing.

Ms Mokoena : … Like I was saying I think that because of the re-emphasis of the fact that, look, everybody did suffer one way or the other, they sort of got to see that it was everybody’s struggle … . They should now get to understand that that’s why we’re called a Rainbow Nation. Not everybody agreed with apartheid and not everybody suffered. Even all the blacks, not all blacks got to feel what the others felt . So ja [yes], it’s [pause] it’s a difficult topic, ja . But I think if you get the kids to understand why we’re teaching apartheid in the first place and you show the involvement of all races in all the different sides , then I think you have managed to teach it properly. So I think because of my inexperience then — that was my first year of teaching history — so I think I — maybe I over-emphasized the suffering of the blacks versus the whites [emphasis added].

Reprinted with permission from ref. 24 , Sage Publications.

From data to codes

Coding data is a key building block shared across many approaches to data analysis. Coding is a way of organizing and describing data, but is also ultimately a way of transforming data to produce analytic insights. The basic practice of coding involves highlighting a segment of text (this may be a sentence, a clause or a longer excerpt) and assigning a label to it. The aim of the label is to communicate some sort of summary of what is in the highlighted piece of text. Coding is an iterative process, whereby researchers read and reread their transcripts, applying and refining their codes, until they have a coding frame (a set of codes) that is applied coherently across the dataset and that captures and communicates the key features of what is contained in the data as it relates to the researchers’ analytic focus.

What one codes for is entirely contingent on the focus of the research project and the choices the researcher makes about the approach to analysis. At first, one might apply descriptive codes, summarizing what is contained in the interviews. It is rarely desirable to stop at this point, however, because coding is a tool to move from describing the data to interpreting the data. Suppose the researcher is pursuing some version of thematic analysis. In that case, it might be that the objects of coding are aspects of reported action, emotions, opinions, norms, relationships, routines, agreement/disagreement and change over time. A discourse analysis might instead code for different types of speech acts, tropes, linguistic or rhetorical devices. Multiple types of code might be generated within the same research project. What is important is that researchers are aware of the choices they are making in terms of what they are coding for. Moreover, through the process of refinement, the aim is to produce a set of discrete codes — in which codes are conceptually distinct, as opposed to overlapping. By using the same codes across the dataset, the researcher can capture commonalities across the interviews. This process of refinement involves relabelling codes and reorganizing how and where they are applied in the dataset.

From coding to analysis and writing

Data analysis is also an iterative process in which researchers move closer to and further away from the data. As they move away from the data, they synthesize their findings, thus honing and articulating their analytic insights. As they move closer to the data, they ground these insights in what is contained in the interviews. The link should not be broken between the data themselves and higher-order conceptual insights or claims being made. Researchers must be able to show evidence for their claims in the data. Figure 2 summarizes this iterative process and suggests the sorts of activities involved at each stage more concretely.

As well as going through steps 1 to 6 in order, the researcher will also go backwards and forwards between stages. Some stages will themselves be a forwards and backwards processing of coding and refining when working across different interview transcripts.

At the stage of synthesizing, there are some common quandaries. When dealing with a dataset consisting of multiple interviews, there will be salient and minority statements across different participants, or consensus or dissent on topics of interest to the researcher. A strength of qualitative interviews is that we can build in these nuances and variations across our data as opposed to aggregating them away. When exploring and reporting data, researchers should be asking how different findings are patterned and which interviews contain which codes, themes or tropes. Researchers should think about how these variations fit within the longer flow of individual interviews and what these variations tell them about the nature of their substantive research interests.

A further consideration is how to approach analysis within and across interview data. Researchers may look at one individual code, to examine the forms it takes across different participants and what they might be able to summarize about this code in the round. Alternatively, they might look at how a code or set of codes pattern across the account of one participant, to understand the code(s) in a more contextualized way. Further analysis might be done according to different sampling characteristics, where researchers group together interviews based on certain demographic characteristics and explore these together.

When it comes to writing up and presenting interview data, key considerations tend to rest on what is often termed transparency. When presenting the findings of an interview-based study, the reader should be able to understand and trace what the stated findings are based upon. This process typically involves describing the analytic process, how key decisions were made and presenting direct excerpts from the data. It is important to account for how the interview was set up and to consider the active part that the researcher has played in generating the data 32 . Quotes from interviews should not be thought of as merely embellishing or adding interest to a final research output. Rather, quotes serve the important function of connecting the reader directly to the underlying data. Quotes, therefore, should be chosen because they provide the reader with the most apt insight into what is being discussed. It is good practice to report not just on what participants said, but also on the questions that were asked to elicit the responses.

Researchers have increasingly used specialist qualitative data analysis software to organize and analyse their interview data, such as NVivo or ATLAS.ti. It is important to remember that such software is a tool for, rather than an approach or technique of, analysis. That said, software also creates a wide range of possibilities in terms of what can be done with the data. As researchers, we should reflect on how the range of possibilities of a given software package might be shaping our analytical choices and whether these are choices that we do indeed want to make.

Applications

This section reviews how and why in-depth interviews have been used by researchers studying gender, education and inequality, nationalism and ethnicity and the welfare state. Although interviews can be employed as a method of data collection in just about any social science topic, the applications below speak directly to the authors’ expertise and cutting-edge areas of research.

When it comes to the broad study of gender, in-depth interviews have been invaluable in shaping our understanding of how gender functions in everyday life. In a study of the US hedge fund industry (an industry dominated by white men), Tobias Neely was interested in understanding the factors that enable white men to prosper in the industry 33 . The study comprised interviews with 45 hedge fund workers and oversampled women of all races and men of colour to capture a range of experiences and beliefs. Tobias Neely found that practices of hiring, grooming and seeding are key to maintaining white men’s dominance in the industry. In terms of hiring, the interviews clarified that white men in charge typically preferred to hire people like themselves, usually from their extended networks. When women were hired, they were usually hired to less lucrative positions. In terms of grooming, Tobias Neely identifies how older and more senior men in the industry who have power and status will select one or several younger men as their protégés, to include in their own elite networks. Finally, in terms of her concept of seeding, Tobias Neely describes how older men who are hedge fund managers provide the seed money (often in the hundreds of millions of dollars) for a hedge fund to men, often their own sons (but not their daughters). These interviews provided an in-depth look into gendered and racialized mechanisms that allow white men to flourish in this industry.

Research by Rao draws on dozens of interviews with men and women who had lost their jobs, some of the participants’ spouses and follow-up interviews with about half the sample approximately 6 months after the initial interview 34 . Rao used interviews to understand the gendered experience and understanding of unemployment. Through these interviews, she found that the very process of losing their jobs meant different things for men and women. Women often saw job loss as being a personal indictment of their professional capabilities. The women interviewed often referenced how years of devaluation in the workplace coloured their interpretation of their job loss. Men, by contrast, were also saddened by their job loss, but they saw it as part and parcel of a weak economy rather than a personal failing. How these varied interpretations occurred was tied to men’s and women’s very different experiences in the workplace. Further, through her analysis of these interviews, Rao also showed how these gendered interpretations had implications for the kinds of jobs men and women sought to pursue after job loss. Whereas men remained tied to participating in full-time paid work, job loss appeared to be a catalyst pushing some of the women to re-evaluate their ties to the labour force.

In a study of workers in the tech industry, Hart used interviews to explain how individuals respond to unwanted and ambiguously sexual interactions 35 . Here, the researcher used interviews to allow participants to describe how these interactions made them feel and act and the logics of how they interpreted, classified and made sense of them 35 . Through her analysis of these interviews, Hart showed that participants engaged in a process she termed “trajectory guarding”, whereby they sought to monitor unwanted and ambiguously sexual interactions to avoid them from escalating. Yet, as Hart’s analysis proficiently demonstrates, these very strategies — which protect these workers sexually — also undermined their workplace advancement.

Drawing on interviews, these studies have helped us to understand better how gendered mechanisms, gendered interpretations and gendered interactions foster gender inequality when it comes to paid work. Methodologically, these studies illuminate the power of interviews to reveal important aspects of social life.

Nationalism and ethnicity

Traditionally, nationalism has been studied from a top-down perspective, through the lens of the state or using historical methods; in other words, in-depth interviews have not been a common way of collecting data to study nationalism. The methodological turn towards everyday nationalism has encouraged more scholars to go to the field and use interviews (and ethnography) to understand nationalism from the bottom up: how people talk about, give meaning, understand, navigate and contest their relation to nation, national identification and nationalism 36 , 37 , 38 , 39 . This turn has also addressed the gap left by those studying national and ethnic identification via quantitative methods, such as surveys.

Surveys can enumerate how individuals ascribe to categorical forms of identification 40 . However, interviews can question the usefulness of such categories and ask whether these categories are reflected, or resisted, by participants in terms of the meanings they give to identification 41 , 42 . Categories often pitch identification as a mutually exclusive choice; but identification might be more complex than such categories allow. For example, some might hybridize these categories or see themselves as moving between and across categories 43 . Hearing how people talk about themselves and their relation to nations, states and ethnicities, therefore, contributes substantially to the study of nationalism and national and ethnic forms of identification.

One particular approach to studying these topics, whether via everyday nationalism or alternatives, is that of using interviews to capture both articulations and narratives of identification, relations to nationalism and the boundaries people construct. For example, interviews can be used to gather self–other narratives by studying how individuals construct I–we–them boundaries 44 , including how participants talk about themselves, who participants include in their various ‘we’ groupings and which and how participants create ‘them’ groupings of others, inserting boundaries between ‘I/we’ and ‘them’. Overall, interviews hold great potential for listening to participants and understanding the nuances of identification and the construction of boundaries from their point of view.

Education and inequality

Scholars of social stratification have long noted that the school system often reproduces existing social inequalities. Carter explains that all schools have both material and sociocultural resources 45 . When children from different backgrounds attend schools with different material resources, their educational and occupational outcomes are likely to vary. Such material resources are relatively easy to measure. They are operationalized as teacher-to-student ratios, access to computers and textbooks and the physical infrastructure of classrooms and playgrounds.

Drawing on Bourdieusian theory 46 , Carter conceptualizes the sociocultural context as the norms, values and dispositions privileged within a social space 45 . Scholars have drawn on interviews with students and teachers (as well as ethnographic observations) to show how schools confer advantages on students from middle-class families, for example, by rewarding their help-seeking behaviours 47 . Focusing on race, researchers have revealed how schools can remain socioculturally white even as they enrol a racially diverse student population. In such contexts, for example, teachers often misrecognize the aesthetic choices made by students of colour, wrongly inferring that these students’ tastes in clothing and music reflect negative orientations to schooling 48 , 49 , 50 . These assessments can result in disparate forms of discipline and may ultimately shape educators’ assessments of students’ academic potential 51 .

Further, teachers and administrators tend to view the appropriate relationship between home and school in ways that resonate with white middle-class parents 52 . These parents are then able to advocate effectively for their children in ways that non-white parents are not 53 . In-depth interviews are particularly good at tapping into these understandings, revealing the mechanisms that confer privilege on certain groups of students and thereby reproduce inequality.

In addition, interviews can shed light on the unequal experiences that young people have within educational institutions, as the views of dominant groups are affirmed while those from disadvantaged backgrounds are delegitimized. For example, Teeger’s interviews with South African high schoolers showed how — because racially charged incidents are often framed as jokes in the broader school culture — Black students often feel compelled to ignore and keep silent about the racism they experience 54 . Interviews revealed that Black students who objected to these supposed jokes were coded by other students as serious or angry. In trying to avoid such labels, these students found themselves unable to challenge the racism they experienced. Interviews give us insight into these dynamics and help us see how young people understand and interpret the messages transmitted in schools — including those that speak to issues of inequality in their local school contexts as well as in society more broadly 24 , 55 .

The welfare state

In-depth interviews have also proved to be an important method for studying various aspects of the welfare state. By welfare state, we mean the social institutions relating to the economic and social wellbeing of a state’s citizens. Notably, using interviews has been useful to look at how policy design features are experienced and play out on the ground. Interviews have often been paired with large-scale surveys to produce mixed-methods study designs, therefore achieving both breadth and depth of insights.

In-depth interviews provide the opportunity to look behind policy assumptions or how policies are designed from the top down, to examine how these play out in the lives of those affected by the policies and whose experiences might otherwise be obscured or ignored. For example, the Welfare Conditionality project used interviews to critique the assumptions that conditionality (such as, the withdrawal of social security benefits if recipients did not perform or meet certain criteria) improved employment outcomes and instead showed that conditionality was harmful to mental health, living standards and had many other negative consequences 56 . Meanwhile, combining datasets from two small-scale interview studies with recipients allowed Summers and Young to critique assumptions around the simplicity that underpinned the design of Universal Credit in 2020, for example, showing that the apparently simple monthly payment design instead burdened recipients with additional money management decisions and responsibilities 57 .

Similarly, the Welfare at a (Social) Distance project used a mixed-methods approach in a large-scale study that combined national surveys with case studies and in-depth interviews to investigate the experience of claiming social security benefits during the COVID-19 pandemic. The interviews allowed researchers to understand in detail any issues experienced by recipients of benefits, such as delays in the process of claiming, managing on a very tight budget and navigating stigma and claiming 58 .

These applications demonstrate the multi-faceted topics and questions for which interviews can be a relevant method for data collection. These applications highlight not only the relevance of interviews, but also emphasize the key added value of interviews, which might be missed by other methods (surveys, in particular). Interviews can expose and question what is taken for granted and directly engage with communities and participants that might otherwise be ignored, obscured or marginalized.

Reproducibility and data deposition

There is a robust, ongoing debate about reproducibility in qualitative research, including interview studies. In some research paradigms, reproducibility can be a way of interrogating the rigour and robustness of research claims, by seeing whether these hold up when the research process is repeated. Some scholars have suggested that although reproducibility may be challenging, researchers can facilitate it by naming the place where the research was conducted, naming participants, sharing interview and fieldwork transcripts (anonymized and de-identified in cases where researchers are not naming people or places) and employing fact-checkers for accuracy 11 , 59 , 60 .

In addition to the ethical concerns of whether de-anonymization is ever feasible or desirable, it is also important to address whether the replicability of interview studies is meaningful. For example, the flexibility of interviews allows for the unexpected and the unforeseen to be incorporated into the scope of the research 61 . However, this flexibility means that we cannot expect reproducibility in the conventional sense, given that different researchers will elicit different types of data from participants. Sharing interview transcripts with other researchers, for instance, downplays the contextual nature of an interview.

Drawing on Bauer and Gaskell, we propose several measures to enhance rigour in qualitative research: transparency, grounding interpretations and aiming for theoretical transferability and significance 62 .

Researchers should be transparent when describing their methodological choices. Transparency means documenting who was interviewed, where and when (without requiring de-anonymization, for example, by documenting their characteristics), as well as the questions they were asked. It means carefully considering who was left out of the interviews and what that could mean for the researcher’s findings. It also means carefully considering who the researcher is and how their identity shaped the research process (integrating and articulating reflexivity into whatever is written up).

Second, researchers should ground their interpretations in the data. Grounding means presenting the evidence upon which the interpretation relies. Quotes and extracts should be extensive enough to allow the reader to evaluate whether the researcher’s interpretations are grounded in the data. At each step, researchers should carefully compare their own explanations and interpretations with alternative explanations. Doing so systematically and frequently allows researchers to become more confident in their claims. Here, researchers should justify the link between data and analysis by using quotes to justify and demonstrate the analytical point, while making sure the analytical point offers an interpretation of quotes (Box 4 ).

An important step in considering alternative explanations is to seek out disconfirming evidence 4 , 63 . This involves looking for instances where participants deviate from what the majority are saying and thus bring into question the theory (or explanation) that the researcher is developing. Careful analysis of such examples can often demonstrate the salience and meaning of what appears to be the norm (see Table 2 for examples) 54 . Considering alternative explanations and paying attention to disconfirming evidence allows the researcher to refine their own theories in respect of the data.

Finally, researchers should aim for theoretical transferability and significance in their discussions of findings. One way to think about this is to imagine someone who is not interested in the empirical study. Articulating theoretical transferability and significance usually takes the form of broadening out from the specific findings to consider explicitly how the research has refined or altered prior theoretical approaches. This process also means considering under what other conditions, aside from those of the study, the researcher thinks their theoretical revision would be supported by and why. Importantly, it also includes thinking about the limitations of one’s own approach and where the theoretical implications of the study might not hold.

Box 4 An example of grounding interpretations in data (from Rao 34 )

In an article explaining how unemployed men frame their job loss as a pervasive experience, Rao writes the following: “Unemployed men in this study understood unemployment to be an expected aspect of paid work in the contemporary United States. Robert, a white unemployed communications professional, compared the economic landscape after the Great Recession with the tragic events of September 11, 2001:

Part of your post-9/11 world was knowing people that died as a result of terrorism. The same thing is true with the [Great] Recession, right? … After the Recession you know somebody who was unemployed … People that really should be working.

The pervasiveness of unemployment rendered it normal, as Robert indicates.”

Here, the link between the quote presented and the analytical point Rao is making is clear: the analytical point is grounded in a quote and an interpretation of the quote is offered 34 .

Limitations and optimizations

When deciding which research method to use, the key question is whether the method provides a good fit for the research questions posed. In other words, researchers should consider whether interviews will allow them to successfully access the social phenomena necessary to answer their question(s) and whether the interviews will do so more effectively than other methods. Table 3 summarizes the major strengths and limitations of interviews. However, the accompanying text below is organized around some key issues, where relative strengths and weaknesses are presented alongside each other, the aim being that readers should think about how these can be balanced and optimized in relation to their own research.

Breadth versus depth of insight

Achieving an overall breadth of insight, in a statistically representative sense, is not something that is possible or indeed desirable when conducting in-depth interviews. Instead, the strength of conducting interviews lies in their ability to generate various sorts of depth of insight. The experiences or views of participants that can be accessed by conducting interviews help us to understand participants’ subjective realities. The challenge, therefore, is for researchers to be clear about why depth of insight is the focus and what we should aim to glean from these types of insight.

Naturalistic or artificial interviews

Interviews make use of a form of interaction with which people are familiar 64 . By replicating a naturalistic form of interaction as a tool to gather social science data, researchers can capitalize on people’s familiarity and expectations of what happens in a conversation. This familiarity can also be a challenge, as people come to the interview with preconceived ideas about what this conversation might be for or about. People may draw on experiences of other similar conversations when taking part in a research interview (for example, job interviews, therapy sessions, confessional conversations, chats with friends). Researchers should be aware of such potential overlaps and think through their implications both in how the aims and purposes of the research interview are communicated to participants and in how interview data are interpreted.

Further, some argue that a limitation of interviews is that they are an artificial form of data collection. By taking people out of their daily lives and asking them to stand back and pass comment, we are creating a distance that makes it difficult to use such data to say something meaningful about people’s actions, experiences and views. Other approaches, such as ethnography, might be more suitable for tapping into what people actually do, as opposed to what they say they do 65 .

Dynamism and replicability

Interviews following a semi-structured format offer flexibility both to the researcher and the participant. As the conversation develops, the interlocutors can explore the topics raised in much more detail, if desired, or pass over ones that are not relevant. This flexibility allows for the unexpected and the unforeseen to be incorporated into the scope of the research.

However, this flexibility has a related challenge of replicability. Interviews cannot be reproduced because they are contingent upon the interaction between the researcher and the participant in that given moment of interaction. In some research paradigms, replicability can be a way of interrogating the robustness of research claims, by seeing whether they hold when they are repeated. This is not a useful framework to bring to in-depth interviews and instead quality criteria (such as transparency) tend to be employed as criteria of rigour.

Accessing the private and personal

Interviews have been recognized for their strength in accessing private, personal issues, which participants may feel more comfortable talking about in a one-to-one conversation. Furthermore, interviews are likely to take a more personable form with their extended questions and answers, perhaps making a participant feel more at ease when discussing sensitive topics in such a context. There is a similar, but separate, argument made about accessing what are sometimes referred to as vulnerable groups, who may be difficult to make contact with using other research methods.

There is an associated challenge of anonymity. There can be types of in-depth interview that make it particularly challenging to protect the identities of participants, such as interviewing within a small community, or multiple members of the same household. The challenge to ensure anonymity in such contexts is even more important and difficult when the topic of research is of a sensitive nature or participants are vulnerable.

Increasingly, researchers are collaborating in large-scale interview-based studies and integrating interviews into broader mixed-methods designs. At the same time, interviews can be seen as an old-fashioned (and perhaps outdated) mode of data collection. We review these debates and discussions and point to innovations in interview-based studies. These include the shift from face-to-face interviews to the use of online platforms, as well as integrating and adapting interviews towards more inclusive methodologies.

Collaborating and mixing

Qualitative researchers have long worked alone 66 . Increasingly, however, researchers are collaborating with others for reasons such as efficiency, institutional incentives (for example, funding for collaborative research) and a desire to pool expertise (for example, studying similar phenomena in different contexts 67 or via different methods). Collaboration can occur across disciplines and methods, cases and contexts and between industry/business, practitioners and researchers. In many settings and contexts, collaboration has become an imperative 68 .

Cheek notes how collaboration provides both advantages and disadvantages 68 . For example, collaboration can be advantageous, saving time and building on the divergent knowledge, skills and resources of different researchers. Scholars with different theoretical or case-based knowledge (or contacts) can work together to build research that is comparative and/or more than the sum of its parts. But such endeavours also carry with them practical and political challenges in terms of how resources might actually be pooled, shared or accounted for. When undertaking such projects, as Morse notes, it is worth thinking about the nature of the collaboration and being explicit about such a choice, its advantages and its disadvantages 66 .

A further tension, but also a motivation for collaboration, stems from integrating interviews as a method in a mixed-methods project, whether with other qualitative researchers (to combine with, for example, focus groups, document analysis or ethnography) or with quantitative researchers (to combine with, for example, surveys, social media analysis or big data analysis). Cheek and Morse both note the pitfalls of collaboration with quantitative researchers: that quality of research may be sacrificed, qualitative interpretations watered down or not taken seriously, or tensions experienced over the pace and different assumptions that come with different methods and approaches of research 66 , 68 .

At the same time, there can be real benefits of such mixed-methods collaboration, such as reaching different and more diverse audiences or testing assumptions and theories between research components in the same project (for example, testing insights from prior quantitative research via interviews, or vice versa), as long as the skillsets of collaborators are seen as equally beneficial to the project. Cheek provides a set of questions that, as a starting point, can be useful for guiding collaboration, whether mixed methods or otherwise. First, Cheek advises asking all collaborators about their assumptions and understandings concerning collaboration. Second, Cheek recommends discussing what each perspective highlights and focuses on (and conversely ignores or sidelines) 68 .

A different way to engage with the idea of collaboration and mixed methods research is by fostering greater collaboration between researchers in the Global South and Global North, thus reversing trends of researchers from the Global North extracting knowledge from the Global South 69 . Such forms of collaboration also align with interview innovations, discussed below, that seek to transform traditional interview approaches into more participatory and inclusive (as part of participatory methodologies).

Digital innovations and challenges

The ongoing COVID-19 pandemic has centred the question of technology within interview-based fieldwork. Although conducting synchronous oral interviews online — for example, via Zoom, Skype or other such platforms — has been a method used by a small constituency of researchers for many years, it became (and remains) a necessity for many researchers wanting to continue or start interview-based projects while COVID-19 prevents face-to-face data collection.

In the past, online interviews were often framed as an inferior form of data collection for not providing the kinds of (often necessary) insights and forms of immersion face-to-face interviews allow 70 , 71 . Online interviews do tend to be more decontextualized than interviews conducted face-to-face 72 . For example, it is harder to recognize, engage with and respond to non-verbal cues 71 . At the same time, they broaden participation to those who might not have been able to access or travel to sites where interviews would have been conducted otherwise, for example people with disabilities. Online interviews also offer more flexibility in terms of scheduling and time requirements. For example, they provide more flexibility around precarious employment or caring responsibilities without having to travel and be away from home. In addition, online interviews might also reduce discomfort between researchers and participants, compared with face-to-face interviews, enabling more discussion of sensitive material 71 . They can also provide participants with more control, enabling them to turn on and off the microphone and video as they choose, for example, to provide more time to reflect and disconnect if they so wish 72 .

That said, online interviews can also introduce new biases based on access to technology 72 . For example, in the Global South, there are often urban/rural and gender gaps between who has access to mobile phones and who does not, meaning that some population groups might be overlooked unless researchers sample mindfully 71 . There are also important ethical considerations when deciding between online and face-to-face interviews. Online interviews might seem to imply lower ethical risks than face-to-face interviews (for example, they lower the chances of identification of participants or researchers), but they also offer more barriers to building trust between researchers and participants 72 . Interacting only online with participants might not provide the information needed to assess risk, for example, participants’ access to a private space to speak 71 . Just because online interviews might be more likely to be conducted in private spaces does not mean that private spaces are safe, for example, for victims of domestic violence. Finally, online interviews prompt further questions about decolonizing research and engaging with participants if research is conducted from afar 72 , such as how to include participants meaningfully and challenge dominant assumptions while doing so remotely.

A further digital innovation, modulating how researchers conduct interviews and the kinds of data collected and analysed, stems from the use and integration of (new) technology, such as WhatsApp text or voice notes to conduct synchronous or asynchronous oral or written interviews 73 . Such methods can provide more privacy, comfort and control to participants and make recruitment easier, allowing participants to share what they want when they want to, using technology that already forms a part of their daily lives, especially for young people 74 , 75 . Such technology is also emerging in other qualitative methods, such as focus groups, with similar arguments around greater inclusivity versus traditional offline modes. Here, the digital challenge might be higher for researchers than for participants if they are less used to such technology 75 . And while there might be concerns about the richness, depth and quality of written messages as a form of interview data, Gibson reports that the reams of transcripts that resulted from a study using written messaging were dense with meaning to be analysed 75 .

Like with online and face-to-face interviews, it is important also to consider the ethical questions and challenges of using such technology, from gaining consent to ensuring participant safety and attending to their distress, without cues, like crying, that might be more obvious in a face-to-face setting 75 , 76 . Attention to the platform used for such interviews is also important and researchers should be attuned to the local and national context. For example, in China, many platforms are neither legal nor available 76 . There, more popular platforms — like WeChat — can be highly monitored by the government, posing potential risks to participants depending on the topic of the interview. Ultimately, researchers should consider trade-offs between online and offline interview modalities, being attentive to the social context and power dynamics involved.

The next 5–10 years

Continuing to integrate (ethically) this technology will be among the major persisting developments in interview-based research, whether to offer more flexibility to researchers or participants, or to diversify who can participate and on what terms.

Pushing the idea of inclusion even further is the potential for integrating interview-based studies within participatory methods, which are also innovating via integrating technology. There is no hard and fast line between researchers using in-depth interviews and participatory methods; many who employ participatory methods will use interviews at the beginning, middle or end phases of a research project to capture insights, perspectives and reflections from participants 77 , 78 . Participatory methods emphasize the need to resist existing power and knowledge structures. They broaden who has the right and ability to contribute to academic knowledge by including and incorporating participants not only as subjects of data collection, but as crucial voices in research design and data analysis 77 . Participatory methods also seek to facilitate local change and to produce research materials, whether for academic or non-academic audiences, including films and documentaries, in collaboration with participants.

In responding to the challenges of COVID-19, capturing the fraught situation wrought by the pandemic and the momentum to integrate technology, participatory researchers have sought to continue data collection from afar. For example, Marzi has adapted an existing project to co-produce participatory videos, via participants’ smartphones in Medellin, Colombia, alongside regular check-in conversations/meetings/interviews with participants 79 . Integrating participatory methods into interview studies offers a route by which researchers can respond to the challenge of diversifying knowledge, challenging assumptions and power hierarchies and creating more inclusive and collaborative partnerships between participants and researchers in the Global North and South.

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Acknowledgements

The authors are grateful to the MY421 team and students for prompting how best to frame and communicate issues pertinent to in-depth interview studies.

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A pre-written interview outline for a semi-structured interview that provides both a topic structure and the ability to adapt flexibly to the content and context of the interview and the interaction between the interviewer and participant. Others may refer to the topic guide as an interview protocol.

Here we refer to the participants that take part in the study as the sample. Other researchers may refer to the participants as a participant group or dataset.

This involves dividing a population into smaller groups based on particular characteristics, for example, age or gender, and then sampling randomly within each group.

A sampling method where the guiding logic when deciding who to recruit is to achieve the most relevant participants for the research topic, in terms of being rich in information or insights.

Researchers ask participants to introduce the researcher to others who meet the study’s inclusion criteria.

Similar to stratified sampling, but participants are not necessarily randomly selected. Instead, the researcher determines how many people from each category of participants should be recruited. Recruitment can happen via snowball or purposive sampling.

A method for developing, analysing and interpreting patterns across data by coding in order to develop themes.

An approach that interrogates the explicit, implicit and taken-for-granted dimensions of language as well as the contexts in which it is articulated to unpack its purposes and effects.

A form of transcription that simplifies what has been said by removing certain verbal and non-verbal details that add no further meaning, such as ‘ums and ahs’ and false starts.

The analytic framework, theoretical approach and often hypotheses, are developed prior to examining the data and then applied to the dataset.

The analytic framework and theoretical approach is developed from analysing the data.

An approach that combines deductive and inductive components to work recursively by going back and forth between data and existing theoretical frameworks (also described as an iterative approach). This approach is increasingly recognized not only as a more realistic but also more desirable third alternative to the more traditional inductive versus deductive binary choice.

A theoretical apparatus that emphasizes the role of cultural processes and capital in (intergenerational) social reproduction.

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Frequently asked questions

Semi-Structured Interviews

What are semi-structured interviews.

Semi-structured interviews are a research method that uses both predetermined questions and open-ended exploration to gain more in-depth insights into participants' perspectives, attitudes, and experiences.

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Semi-structured interviews are commonly used in social science research, market research, and other fields where an understanding of people's attitudes, behaviors, and beliefs is important.

Key Characteristics of Semi-Structured Interviews

Semi-structured interviews have several key characteristics that differentiate them from other types of interviews:

The flexible nature allows researchers to dive deeper into a topic and adapt the interview based on new insights or issues. Unlike structured interviews, which rely on a fixed set of questions and responses, semi-structured interviews allow for more open-ended discussion, which can lead to unexpected insights and perspectives.

Their emphasis is on participant perspectives and experiences. Rather than simply gathering participant data or information, the purpose of semi-structured interviews is to understand how participants think and feel about particular topics or issues. This approach allows researchers to understand better the social and cultural contexts in which participants live and work.

They are often used in research projects that aim to generate new ideas or theories rather than test existing ones. Because they allow for open-ended discussion and exploration, they can effectively generate new insights into complex social phenomena.

Types of Questions for Semi-Structured Interviews

Semi-structured interviews use a combination of predetermined questions and open-ended exploration to learn more about participants' perspectives. There are three main categories of questions you can use:

Open-ended Questions: These are broad, general questions that allow participants to express their thoughts and feelings on a topic without restriction. Open-ended questions typically begin with phrases like "Tell me about..." or "How do you feel about...". These questions help encourage participants to share their experiences and perspectives in their own words.

Closed-ended Questions: Closed-ended questions are more specific and provide the participant with predetermined responses. These questions typically begin with phrases like "Do you agree or disagree with..." or "Which option best describes...". Closed-ended questions can help gather data on specific attitudes or behaviors.

Probing Questions: Probing questions are follow-up questions that aim to clarify or expand upon a participant's response. These questions typically begin with phrases like "Can you tell me more about..." or "Why do you think that is...". Probing questions can help a researcher to understand a participant's thought process or experience.

Semi-Structured Interviews – Different Types of Questions

Steps to Conduct a Successful Semi-Structured Interview

Proper preparation is key to conducting successful semi-structured interviews. Below are some tips for preparing for your interviews:

Define Your Research Questions: Before conducting interviews, it's important to understand your research questions and objectives clearly. This will help you develop a set of initial questions to guide your interview process.

Develop an Interview Guide: An interview guide is a list of questions and prompts designed to elicit information from participants. It should include open-ended and closed-ended questions and probing questions to encourage participants to elaborate on their responses.

Pilot Test Your Interview Guide: It's important to pilot test your interview guide with a small group of participants before conducting full-scale interviews. This will allow you to identify potential issues or areas where the questions must be revised.

Identify and Recruit Participants: Ensure that your sample is representative of the population you are studying. Consider using targeted sampling methods, such as snowball sampling or maximum variation sampling, to recruit participants who can provide diverse perspectives.

Schedule Interviews: Once you've identified and recruited participants, it's time to schedule interviews. Be sure to allow adequate time between interviews for transcription and analysis.

Conduct Interviews: During the interview process, it's important to establish rapport with participants and create a comfortable environment where they feel safe sharing their experiences and opinions. Be sure to follow your interview guide while allowing flexibility in response to unexpected information during the discussion.

Provide Compensation or Incentives to Participants: Consider offering compensation or incentives to participants to encourage their participation. Compensation can come in many forms, such as gift cards, cash, or vouchers. It can also be non-monetary, such as offering participants the opportunity to receive a summary of the study's findings or the chance to participate in future research projects. Compensation or incentives can help to show participants that their time and contributions are valued and appreciated.

Plan your research with this helpful checklist . Then, get ready to conduct semi-structured interviews! Download this template for help in creating different types of interview questions.

How to Conduct an Interview with Empathy

Learn More about Semi Structured Interviews

Take our course on User Research – Methods and Best Practices.

Read more about the process of conducting semi-structured interviews .

Learn how to analyze the data from your semi-structured interviews .

Read this reflection on semi-structured interviews as a research instrument .

Learn how to use the snowball sampling method to recruit participants.

Do you need more diversity in your study? Try maximum variation sampling .

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What are semi-structured interviews?

Interviews that consist only of casual conversations without any structure.
Interviews that follow a strict set of questions without deviation.
Interviews that use both predetermined questions and allow open-ended exploration.

Why is building rapport important in semi-structured interviews?

It allows the interviewer to dominate the conversation.
It encourages participants to provide honest and detailed responses.
It guarantees the interviewer sticks to the script.

Which type of question do researchers commonly use in semi-structured interviews to gain in-depth responses?

Multiple-choice questions
Open-ended questions
Yes/no questions

Why are semi-structured interviews beneficial in research?

They allow for the exploration of new topics based on responses.
They are easy to analyze quantitatively.
They require minimal preparation.

What is the purpose of probing questions in semi-structured interviews?

To clarify and expand on participants' answers
To gather specific predetermined data
To limit the participants' responses

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Literature on Semi-Structured Interviews

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How do you plan to design a product or service that your users will love , if you don't know what they want in the first place? As a user experience designer, you shouldn't leave it to chance to design something outstanding; you should make the effort to understand your users and build on that knowledge from the outset. User research is the way to do this, and it can therefore be thought of as the largest part of user experience design .

In fact, user research is often the first step of a UX design process—after all, you cannot begin to design a product or service without first understanding what your users want! As you gain the skills required, and learn about the best practices in user research, you’ll get first-hand knowledge of your users and be able to design the optimal product—one that’s truly relevant for your users and, subsequently, outperforms your competitors’ .

This course will give you insights into the most essential qualitative research methods around and will teach you how to put them into practice in your design work. You’ll also have the opportunity to embark on three practical projects where you can apply what you’ve learned to carry out user research in the real world . You’ll learn details about how to plan user research projects and fit them into your own work processes in a way that maximizes the impact your research can have on your designs. On top of that, you’ll gain practice with different methods that will help you analyze the results of your research and communicate your findings to your clients and stakeholders—workshops, user journeys and personas, just to name a few!

By the end of the course, you’ll have not only a Course Certificate but also three case studies to add to your portfolio. And remember, a portfolio with engaging case studies is invaluable if you are looking to break into a career in UX design or user research!

We believe you should learn from the best, so we’ve gathered a team of experts to help teach this course alongside our own course instructors. That means you’ll meet a new instructor in each of the lessons on research methods who is an expert in their field—we hope you enjoy what they have in store for you!

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Mastering Semi-Structured Interviews

Introduction

What is the difference between structured and semi-structured interviews, when to use a semi-structured interview, best practices for conducting semi-structured interviews, semi-structured interviews in qualitative research.

Interviews are an integral part of qualitative and social science research . While observational research explores what people do, interviews look at what people say and believe. The interview is an important research method to capture people's perspectives and experiences concerning relevant topics.

Three different types of interviews can be utilized in research. In this article, we will look at the semi-structured interview. This form of interview offers a balance between a rigid interaction that produces neatly organized data and a fluid conversation that can explore unexpected but relevant aspects of the phenomenon under study.

Among research methods , interviewing focuses on the experiences and perspectives that people have about a particular topic. In contrast, other research methods such as experiments and observations focus on what people do or how things work. However, people may look at the same cultural or social practice and think different things about it, making interviews important to capture potential nuances in experiences and interpretations.

Conducting an interview is a more complex task than simply talking with people. Qualitative researchers can adopt three different approaches to talking with interview respondents. The most straightforward form of interview is the structured interview , which is a rigid form of interview that asks a specific set of questions. It is fully structured in that all questions are specified beforehand and the interviewer poses the same questions to all participants, without any variations or asking any follow-up questions on the spot. A strength of structured interviews is that asking only predetermined questions produces uniform data that makes comparisons across participants easier, as answers from structured interviews can be quickly sorted into a matrix or spreadsheet for simple comparison.

Another type of interview is the semi-structured interview, which also has predetermined questions but allows for follow-up questions for deeper exploration. In this case, the interview can be seen as a formal conversation, with the researcher having a predetermined set of topics and questions they want to ask, while at the same time remaining open to asking other questions as the conversation unfolds. As a result, a semi-structured interview offers the necessary flexibility for researchers to explore any relevant ideas that may emerge as the participant answers questions and shares new information.

Advantages of semi-structured interviews

Semi-structured interviews allow the researcher to probe deeply into the perspectives of interview respondents, while structured interviews have a rigid format that does not allow for the interviewer to elicit more detail if given the opportunity.

The semi-structured format also provides the necessary guidance for researchers to stay focused on the key topics at hand. While the interview may go through the questions in a different order or explore additional topics, the predetermined questions in a semi-structured interview ensures that the important topics are sufficiently explored.

Disadvantages of semi-structured interviews

Unlike in a formal interview, the open-ended nature of semi-structured interviews can allow for the interview respondent to take the conversation in unanticipated directions. While this is a useful feature of semi-structured interviews, it is also important for the interviewer to guide the conversation toward the topic of study to ensure that the collected data will be relevant to the research question.

A semi-structured interview also requires the interviewer to engage in active listening to be able to take advantage of opportunities to ask probing questions. In this respect, interviewers may require training to ensure that they can effectively conduct a semi-structured interview that explores respondents' perspectives deeply enough while collecting data relevant to the research inquiry.

Unstructured interviews

One more distinction to keep in mind is that of the unstructured interview . While structured and semi-structured interviews have predetermined questions tailored to address the research question , unstructured interviews have no framework set before conducting the interview.

These kinds of interviews are meant to be more informal or exploratory in nature; they allow respondents to answer as freely as possible and permits the interviewer to follow the dialogue wherever it goes. While both semi-structured and unstructured interviews can employ spontaneous follow-up questions, semi-structured interviews are designed to ensure that a set of key questions are asked to all respondents to ensure relevant data is collected.

While interviews can follow predetermined structures to different degrees, interviewing as a data collection method is a social act that involves developing rapport with the interview respondent so that they feel comfortable to answer freely. This is also important to collect rich data that shed light on the phenomenon under study.

Keep in mind that any qualitative interview, regardless of type, focuses on open-ended questions. Any study that is more suited to closed-ended questions may find survey research more conducive to addressing their research inquiry.

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A semi-structured interview is ideal when you want to explore individuals' experiences and perspectives around a particular topic. It is also important to have a clearly defined research agenda with specific objectives that your interview respondents can address. Your research objectives can inform the core questions you can pose to respondents.

In addition, if you are still looking to inductively generate theory in areas that have little theoretical coherence or conceptualization, a semi-structured interview is ideal because it allows you to probe further into the ideas that emerge from your respondents. Semi-structured interviews are thus powerful data collection tools when you are looking to build a theory or explore individuals' experiences or perspectives.

Interviewing in qualitative research is not merely an act of conversing with research participants. It is a research method aimed at exploring the perspectives and ideas of research participants as deeply as possible.

When you conduct semi-structured interviews, it is important to intentionally consider every major element of the study, from the selection of participants to the questions asked, even the setting in which the interviews take place.

Preparing for a semi-structured interview

Think about which participants can adequately address the objectives in your study. For example, if your research inquiry deals with a specific cultural practice from a particular perspective, then you will benefit from choosing respondents who can best speak to that perspective.

Also reflect on how you will interact with your respondents. What is the best way to reach them and elicit their ideas? To engage in a meaningful conversation with your participants, it is important to pose questions in a way that is easy for others to understand, avoiding any jargon and preparing alternative ways to ask each question. Moreover, interview questions should be adjusted to each participant. Interviewing children is a different matter from interviewing adults. If the respondents' first language is different from yours, you may also want to consider adjusting your language to make yourself understood. The respondent's individual circumstances will play an important role in how you conduct your interview.

In addition, consider what equipment you will use to collect qualitative data in the form of audio or video recordings , and aim to record in as high a quality as possible. While the audio recorder on most smartphones is adequate enough to capture most conversations, you may want to think about using professional equipment if you are conducting interviews in public environments like cafés or parks. A camera may also be appropriate if you want to record facial expressions, gestures, and other body language for later analysis.

Semi-structured interview questions

A researcher should prepare an interview guide that lists all the necessary questions to be asked and topics to be explored. The guide can be flexible and researchers can ask the questions in whichever order naturally unfolds during the conversation. Nonetheless, having a guide helps ensure that the researcher is collecting data relevant to the research question.

When designing interview guides, consider how your questions are framed and how they might be received by the interview respondent. Avoid leading questions that may elicit socially desirable responses, and prepare alternative ways to word your questions in case participants don't understand a question.

Preparing follow-up questions

Probing questions make for effective follow-ups that encourage respondents to provide in-depth information about the topic at hand. A common challenge of interviews is that participants may provide very brief responses or not deeply engage with the conversation. Preparing prompts and probes can help researchers encourage participants to open up or provide more details if needed.

In general, an interviewer should invite the respondent to elaborate on answers when additional details can benefit the research. Taking advantage of such opportunities in a semi-structured interview can greatly contribute to the theoretical development arising from the interview study. These prompts and probes can be as simple as asking for more details, nodding along, or practicing silence. Another helpful tactic is to ask participants to provide an example or walk you through the story they are sharing.

The interview itself is just one of the components of the interview study. During and after the semi-structured interview, take the following into consideration to ensure rigorous data collection .

Collecting qualitative data in the form of interviews

In most cases, interview data takes the form of transcriptions of raw audio or video recordings of the interview conversations. It's important to ensure that you have the necessary equipment to record and transcribe the interview. Being able to count on high quality recordings is crucial to make transcription easier and more accurate.

While you can certainly analyze the actual recordings, textual data can make the analysis process easier and more manageable. You can use qualitative data analysis software such as ATLAS.ti to analyze multimedia or text data; another benefit of text data is that many additional analysis tools can be used to analyze the structure or contents of the data.

An interview researcher should also consider how the interview is conducted. After all, the two-way communication in a face-to-face interview has different effects on the interview respondent from an interview that is conducted online or by email. Be sure to familiarize yourself with the environment in which you will conduct the interview so that you can anticipate any issues that arise regarding clarity between you and your respondents.

During the course of any interview, it may benefit your analysis to capture detailed notes about the interactions you have with your respondents. A good practice is to note down any observations or impressions immediately after concluding each interview while the interaction is fresh in your mind. Many interviewers use these notes to remind them of potentially significant theoretical developments that can be used when coding the data.

Interviews with vulnerable populations

For interview projects that involve sensitive issues, the researcher should be mindful of how questions are posed and what is asked to avoid interview respondents becoming uncomfortable or anxious.

This is especially true in studies that involve children, people in conflict zones, and other vulnerable populations. The interviewer should take great care to balance data collection with the responsibility of protecting the well-being of their research participants.

Informed consent with interview respondents

In terms of addressing ethical considerations , the researcher should also ensure that they receive participants' consent before collecting any data . Informed consent is a crucial standard in research involving human participants, and it involves both the interviewer and interview respondent being cognizant of the purpose of the study, the procedures taken during the interview, and the measures in place to preserve the respondent's privacy and personal data .

Especially with respect to interviews that collect open-ended data from participants, researchers should ensure that respondents have an in-depth understanding of the interview study in which they are participating.

Preparing semi-structured interviews for analysis

Unlike interviews for news outlets or entertainment programs, the interview research process doesn't end at the conclusion of the conversation with the participant. A research paper is not simply a reporting of what was said in an interview or set of interviews. Instead, the respondents' utterances should be carefully and rigorously analyzed to determine what themes and patterns arise from the data and how these relate to the research question guiding the study.

Transcription of interview recordings is a standard practice for analyzing interviews. You can either manually transcribe interviews, outsource transcription to a professional service, or use software that automates the process. Whatever you choose, make sure that the transcription is accurate and has the level of detail (e.g., thinking sounds, pauses) that you are looking for in your analysis.

Coding and analyzing semi-structured interviews

Qualitative data typically undergoes a coding process in which data segments are labeled with descriptive codes. These codes help to identify patterns in the data. Ultimately, the goal of coding is to help the researcher condense and organize the data to address their research objectives.

For semi-structured interviews, consider first coding every answer based on the questions in the interview guide. This will allow you to compare respondents' answers to the same interview questions when viewing and analyzing each question code later on. You can supplement these codes with interpretive codes based on emerging themes to further explore patterns across participants' experiences or perspectives.

Make the most of your interview research with ATLAS.ti

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Semistructured interviewing in primary care research: a balance of relationship and rigour

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Introduction

Key characteristics of semistructured interviews.

Purpose of semistructured interviews

Designing and conducting semistructured interviews

Steps for designing and conducting semistructured interviews

Step 1: determining the purpose and scope of the study.

Step 2: identifying participants

Step 3: considering ethical issues

Step 4: planning logistical aspects

Step 5: developing the interview guide

Step 6: establishing trust and rapport

Step 7: conducting the interview

Location and set-up.

Beginning the interview

Interviewer stance

Active listening

Continuing the interview

Step 8: memoing and reflection

Step 9: analysing the data

Step 10: demonstrating the trustworthiness of the research

Step 11: presenting findings in a paper or report

Conclusions

Further Reading

Edwards R, & Holland J. (2013). What is qualitative interviewing?: A&C Black.

Josselson R. Interviewing for qualitative inquiry: A relational approach. Guilford Press, 2013.

Kvale S. InterViews: An Introduction to Qualitative Research Interviewing. SAGE, London, 1996.

Pope C, & Mays N. (Eds). (2006). Qualitative research in health care.

Supplementary files
Publication history
Rapid Responses

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Methodology
Semi-Structured Interview | Definition, Guide & Examples

Semi-Structured Interview | Definition, Guide & Examples

Published on 4 May 2022 by Tegan George . Revised on 30 August 2022.

A semi-structured interview is a data collection method that relies on asking questions within a predetermined thematic framework. However, the questions are not set in order or in phrasing.

In research, semi-structured interviews are often qualitative in nature. They are generally used as an exploratory tool in marketing, social science, survey methodology, and other research fields.

They are also common in field research with many interviewers, giving everyone the same theoretical framework, but allowing them to investigate different facets of the research question .

Structured interviews : The questions are predetermined in both topic and order.
Unstructured interviews : None of the questions are predetermined.
Focus group interviews : The questions are presented to a group instead of one individual.

What is a semi-structured interview, when to use a semi-structured interview, advantages of semi-structured interviews, disadvantages of semi-structured interviews, semi-structured interview questions, how to conduct a semi-structured interview, how to analyse a semi-structured interview, presenting your results (with example), frequently asked questions about semi-structured interviews.

Semi-structured interviews are a blend of structured and unstructured types of interviews.

Unlike in an unstructured interview, the interviewer has an idea of what questions they will ask.
Unlike in a structured interview, the phrasing and order of the questions is not set.

Prevent plagiarism, run a free check.

Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uneasy.
Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

Just like in structured interviews, it is critical that you remain organised and develop a system for keeping track of participant responses. However, since the questions are less set than in a structured interview, the data collection and analysis become a bit more complex.

Differences between different types of interviews

Make sure to choose the type of interview that suits your research best. This table shows the most important differences between the four types.


Fixed questions
Fixed order of questions
Fixed number of questions
Option to ask additional questions

Semi-structured interviews come with many advantages.

Best of both worlds

No distractions, detail and richness.

However, semi-structured interviews also have their downsides.

Low validity

High risk of bias, difficult to develop good semi-structured interview questions.

Define what areas or topics you will be focusing on prior to the interview. This will help you write a framework of questions that zero in on the information you seek.
Write yourself a guide to refer to during the interview, so you stay focused. It can help to start with the simpler questions first, moving into the more complex ones after you have established a comfortable rapport.
Be as clear and concise as possible, avoiding jargon and compound sentences.
How often per week do you go to the gym? a) 1 time; b) 2 times; c) 3 times; d) 4 or more times
If yes: What feelings does going to the gym bring out in you?
If no: What do you prefer to do instead?
If yes: How did this membership affect your job performance? Did you stay longer in the role than you would have if there were no membership?

Once you’ve determined that a semi-structured interview is the right fit for your research topic , you can proceed with the following steps.

Step 1: Set your goals and objectives

You can use guiding questions as you conceptualise your research question, such as:

What are you trying to learn or achieve from a semi-structured interview?
Why are you choosing a semi-structured interview as opposed to a different type of interview, or another research method?

If you want to proceed with a semi-structured interview, you can start designing your questions.

Step 2: Design your questions

Try to stay simple and concise, and phrase your questions clearly. If your topic is sensitive or could cause an emotional response, be mindful of your word choices.

One of the most challenging parts of a semi-structured interview is knowing when to ask follow-up or spontaneous related questions. For this reason, having a guide to refer back to is critical. Hypothesising what other questions could arise from your participants’ answers may also be helpful.

Step 3: Assemble your participants

There are a few sampling methods you can use to recruit your interview participants, such as:

Voluntary response sampling : For example, sending an email to a campus mailing list and sourcing participants from responses
Stratified sampling of a particular characteristic trait of interest to your research, such as age, race, ethnicity, or gender identity

Step 4: Decide on your medium

It’s important to determine ahead of time how you will be conducting your interview. You should decide whether you’ll be conducting it live or with a pen-and-paper format. If conducted in real time, you also need to decide whether in person, over the phone, or via videoconferencing is the best option for you.

Note that each of these methods has its own advantages and disadvantages:

Pen-and-paper may be easier for you to organise and analyse, but you will receive more prepared answers, which may affect the reliability of your data.
In-person interviews can lead to nervousness or interviewer effects, where the respondent feels pressured to respond in a manner they believe will please you or incentivise you to like them.

Step 5: Conduct your interviews

As you conduct your interviews, keep environmental conditions as constant as you can to avoid research bias . Pay attention to your body language (e.g., nodding, raising eyebrows), and moderate your tone of voice.

After you’re finished conducting your interviews, it’s time to analyse your results. First, assign each of your participants a number or pseudonym for organisational purposes.

Transcribing interviews

Before you get started with transcription, decide whether to conduct verbatim transcription or intelligent verbatim transcription.

If pauses, laughter, or filler words like ‘umm’ or ‘like’ affect your analysis and research conclusions, conduct verbatim transcription and include them.
If not, you can conduct intelligent verbatim transcription, which excludes fillers, fixes any grammatical issues, and is usually easier to analyse.

Transcribing presents a great opportunity for you to cleanse your data . Here, you can identify and address any inconsistencies or questions that come up as you listen.

Your supervisor might ask you to add the transcriptions to the appendix of your paper.

Coding semi-structured interviews

Next, it’s time to conduct your thematic or content analysis . This often involves ‘coding’ words, patterns, or recurring responses, separating them into labels or categories for more robust analysis.

Due to the open-ended nature of many semi-structured interviews, you will most likely be conducting thematic analysis, rather than content analysis.

You closely examine your data to identify common topics, ideas, or patterns. This can help you draw preliminary conclusions about your participants’ views, knowledge or experiences.
After you have been through your responses a few times, you can collect the data into groups identified by their ‘code’. These codes give you a condensed overview of the main points and patterns identified by your data.
Next, it’s time to organise these codes into themes. Themes are generally broader than codes, and you’ll often combine a few codes under one theme. After identifying your themes, make sure that these themes appropriately represent patterns in responses.

Analysing semi-structured interviews

Once you’re confident in your themes, you can take either an inductive or a deductive approach.

An inductive approach is more open-ended, allowing your data to determine your themes.
A deductive approach is the opposite. It involves investigating whether your data confirm preconceived themes or ideas.

After your data analysis, the next step is to report your findings in a research paper .

Your methodology section describes how you collected the data (in this case, describing your semi-structured interview process) and explains how you justify or conceptualise your analysis.
Your discussion and results sections usually address each of your coded categories.
You can then conclude with the main takeaways and avenues for further research.

Example of interview methodology for a research paper

You identify a few potential options based on literature:

Perceptions about personal health or the perceived ‘healthiness’ of a vegan diet
Concerns about animal welfare and the meat industry
Increased climate awareness, especially in regards to animal products
Availability of more vegan options, making the lifestyle change easier

Anecdotally, you hypothesise that students are more aware of the impact of animal products on the ongoing climate crisis, and this has influenced many to go vegan. However, you cannot rule out the possibility of the other options, such as the new vegan bar in the dining hall.

Since your topic is exploratory in nature and you have a lot of experience conducting interviews in your work-study role as a research assistant, you decide to conduct semi-structured interviews.

Here are some questions you could ask:

Do you find vegan options on campus to be: excellent; good; fair; average; poor?
How long have you been a vegan?
Follow-up questions can probe the strength of this decision (i.e., was it overwhelmingly one reason, or more of a mix?).

Depending on your participants’ answers to these questions, ask follow-ups as needed for clarification, further information, or elaboration.

Do you think consuming animal products contributes to climate change? → The phrasing implies that you, the interviewer, do think so. This could bias your respondents, incentivising them to answer affirmatively as well.
What do you think is the biggest effect of animal product consumption? → This phrasing ensures the participant is giving their own opinion, and may even yield some surprising responses that enrich your analysis.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.

The four most common types of interviews are:

Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

George, T. (2022, August 30). Semi-Structured Interview | Definition, Guide & Examples. Scribbr. Retrieved 18 September 2024, from https://www.scribbr.co.uk/research-methods/semi-structured-interviews/

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6 Semi-structured interviewing

Published: June 2005
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This chapter presents a guide to conducting effective semi-structured interviews. It discusses the nature of semi-structured interviews and why they should be used, as well as preparation, the logistics of conducting the interview, and reflexivity.

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Exploring Diagnostic and Therapeutic Odyssey in Pulmonary Arterial Hypertension: Insights from In-Depth Semi-Structured Interviews

PMID: 39250896
DOI: 10.1159/000540556

Introduction Establishing a diagnosis is paramount in medical practice as it shapes patients' experiences and guides treatment. Patients grappling with rare diseases face a triple challenge: prolonged diagnostic journeys, limited responses to existing therapies, and the absence of effective monitoring tools. Genetic diagnosis often provides crucial diagnostic and prognostic information, opening up possibilities for genotype-targeted treatments and facilitating counselling and relative testing. The NIHR BioResource - Rare Diseases (NBR) Study and the Cohort study in idiopathic and hereditary pulmonary arterial hypertension (PAH Cohort study) aimed to enhance diagnosis and treatment for PAH, successfully identifying the genetic cause in 25% of idiopathic cases. However, the diagnostic and therapeutic odyssey in patients with PAH remains largely unexplored. Methods Stakeholders from the NBR and PAH Cohort studies were recruited using purposive sampling. In-depth interviews and focus groups were recorded, transcribed, anonymised, and analysed thematically using MAXQDA software. Results The study involved 53 interviews and focus groups with 63 participants, revealing key themes across five stages of the diagnostic odyssey: initial health concerns and interactions with GPs, experiences of misdiagnosis, relief upon receiving the correct diagnosis, and mixed emotions regarding genetic results and the challenges of living with the disease. Following the diagnosis, participants embarked on a therapeutic journey, facing various challenges, including the disease's impact on professional and social lives, the learning curve associated with understanding the disease, shifts in communication dynamics with healthcare providers, therapeutic hurdles, and insurance-related issues. Building on these insights, we identified areas of unmet needs, such as improved collaboration with primary care providers and local hospitals, the provision of psychological support and counselling, and the necessity for ongoing patient education in the ever-evolving realms of research and therapy. Conclusions The study highlights the significant challenges encountered throughout the diagnostic and therapeutic journey in PAH. To enhance patient outcomes, it is crucial to raise awareness of the disease, establish clear diagnostic pathways, and seamlessly integrate genetic diagnostics into clinical practice. Streamlining the diagnostic process can be achieved by utilising existing clinical infrastructure to support research and fostering better communication within the NHS. Moreover, there is an urgent need for more effective therapies alongside less burdensome drug delivery methods.

S. Karger AG, Basel.

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COMMENTS

Semi-Structured Interview
A semi-structured interview is a data collection method that relies on asking questions within a predetermined thematic framework. However, the questions are not set in order or in phrasing. In research, semi-structured interviews are often qualitative in nature. They are generally used as an exploratory tool in marketing, social science ...
Semi-structured Interviews
Definition. The semi-structured interview is an exploratory interview used most often in the social sciences for qualitative research purposes or to gather clinical data. While it generally follows a guide or protocol that is devised prior to the interview and is focused on a core topic to provide a general structure, the semi-structured ...
Semi-structured Interview: A Methodological Reflection on the
The semi-structured interview is a method of research commonly used in social sciences. Hyman et al. (1954) describe interviewing as a method of enquiry that is universal in social sciences.
(PDF) Conducting Semi-Structured Interviews
Conducted conversationally with one respondent at a time, the semi-structured interview (SSI) employs a blend of closed- and open-ended questions, often accompanied by follow-up why or how questions.
Semi-Structured Interview: Explanation, Examples, & How-To
A semi-structured interview is a qualitative research method used to gain an in-depth understanding of the respondent's feelings and beliefs on specific topics. As the interviewer prepares the questions ahead of time, they can adjust the order, skip any that are redundant, or create new ones. Additionally, the interviewer should be prepared to ...
Semistructured interviewing in primary care research: a balance of
Semistructured interviews are an effective method for data collection when the researcher wants: (1) to collect qualitative, open-ended data; (2) to explore participant thoughts, feelings and beliefs about a particular topic; and (3) to delve deeply into personal and sometimes sensitive issues.
Semi-structured interview
A semi-structured interview is a method of research used most often in the social sciences. While a structured interview has a rigorous set of questions which does not allow one to divert, a semi-structured interview is open, allowing new ideas to be brought up during the interview as a result of what the interviewee says. The interviewer in a ...
A Reflexive Lens on Preparing and Conducting Semi-structured Interviews
In qualitative research, researchers often conduct semi-structured interviews with people familiar to them, but there are limited guidelines for researchers who conduct interviews to obtain curriculum-related information with academic colleagues who work in the same area of practice but at different higher education institutions.
Interviews in the social sciences
Semi-structured interviews are typically organized around a topic guide comprised of an ordered set of broad topics (usually 3-5). ... This article argues that, in qualitative interview research ...
Research and Scholarly Methods: Semi-structured Interviews
Semi-. 50 structured interviews are the preferred data collection method when the researcher's goal is to better. 51 understand the participant's unique perspective rather than a generalized understanding of a. 52 phenomenon.6 Although there is certainly an appropriate place in qualitative research for other data.
The Semi-Structured Interview
Sage Research Methods Video: Qualitative and Mixed Methods - The Semi-Structured Interview. This visualization demonstrates how methods are related and connects users to relevant content. Find step-by-step guidance to complete your research project. Answer a handful of multiple-choice questions to see which statistical method is best for your data.
Types of Interview: Semi-Structured Interviews
An overview of semi-structured interviews for qualitative research, including protocols for, using an interview guide, advantages, and disadvantages. Chapter 1: Protocols for Semi-Structured Interviews in Qualitative Research
What are Semi-Structured Interviews?
Semi-structured interviews are a research method that uses both predetermined questions and open-ended exploration to gain more in-depth insights into participants' perspectives, attitudes, and experiences. Show video transcript. Semi-structured interviews are commonly used in social science research, market research, and other fields where an ...
What are Semi-Structured Interviews?
In this article, we will look at the semi-structured interview. This form of interview offers a balance between a rigid interaction that produces neatly organized data and a fluid conversation that can explore unexpected but relevant aspects of the phenomenon under study. Semi-structured interviews are an essential component of many qualitative ...
Mastering the semi-structured interview and beyond: From research
This book offers an in-depth and captivating step-by-step guide to the use of semi-structured interviews in qualitative research. By tracing the life of an actual research project as a consistent example threaded across the volume, Anne Galletta shows in concrete terms how readers can approach the planning and execution of their own new research endeavor and illuminates unexpected, real-life ...
Research and scholarly methods: Semi-structured interviews
The popularity and value of qualitative research has increasingly been recognized in health and pharmacy services research. Although there is certainly an appropriate place in qualitative research for other data collection methods, a primary benefit of the semi-structured interview is that it permits interviews to be focused while still giving the investigator the autonomy to explore pertinent ...
Semistructured interviewing in primary care research: a balance of
Semistructured in-depth interviews are commonly used in qualitative research and are the most frequent qualitative data source in health services research. This method typically consists of a dialogue between researcher and participant, guided by a flexible interview protocol and supplemented by follow-up questions, probes and comments. The method allows the researcher to collect open-ended ...
Mastering the Semi-Structured Interview and Beyond: From Research
Mastering the Semi-Structured Interview and Beyondoffers an in-depth and captivating step-by-step guide to the use of semi-structured interviews in qualitative ...
(PDF) Strengths and Weaknesses of Semi-Structured Interviews in
A semi-structured interview (SSI) is one of the essential tools in conduction qualitative research. This essay draws upon the pros and cons of applying semi-structured interviews (SSI) in the ...
Semi-Structured Interview
A semi-structured interview is a data collection method that relies on asking questions within a predetermined thematic framework. However, the questions are not set in order or in phrasing. In research, semi-structured interviews are often qualitative in nature. They are generally used as an exploratory tool in marketing, social science ...
Semi-Structured Interviews
Semi-structured interviews explore areas you have already established as relevant to the research study. When planning a semi-structured interview, you can start with a general list of topics, each of which might include structured questions and open-ended questions (Avineri, 2017). It is up to you to decide how much structure is right for your ...
RWJF
Semi-structured interviews are often preceded by observation, informal and unstructured interviewing in order to allow the researchers to develop a keen understanding of the topic of interest necessary for developing relevant and meaningful semi-structured questions. ... Crabtree B. "Qualitative Research Guidelines Project." July 2006.
Semi-structured interviewing
This chapter presents a guide to conducting effective semi-structured interviews. It discusses the nature of semi-structured interviews and why they should be used, as well as preparation, the logistics of conducting the interview, and reflexivity.
Exploring Diagnostic and Therapeutic Odyssey in Pulmonary Arterial
Exploring Diagnostic and Therapeutic Odyssey in Pulmonary Arterial Hypertension: Insights from In-Depth Semi-Structured Interviews Respiration. 2024 Sep 9:1-20. doi: 10.1159/000540556. Online ahead of print. Authors ... and the necessity for ongoing patient education in the ever-evolving realms of research and therapy. Conclusions The study ...

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Semi-Structured Interview | Definition, Guide & Examples

Table of contents

Differences between different types of interviews

Best of both worlds

Low validity

Step 1: Set your goals and objectives

Step 2: Design your questions

Step 3: Assemble your participants

Step 4: Decide on your medium

Step 5: Conduct your interviews

Transcribing interviews

Coding semi-structured interviews

Analyzing semi-structured interviews

Example of interview methodology for a research paper

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Semi-structured Interviews

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Analyze semi-structured interviews

Flexibility

Respondent comfort

Can be unpredictable

Lack of standardization

Prioritize open-ended questions

Plan some follow-up questions

Avoid leading questions

Use the critical incident method

Beginning the interview

Practice active listening

Ask clarifying questions in real time

Minimize note-taking

Concluding the interview

Should you be using a customer insights hub?

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Semistructured interviewing in primary care research: a balance of relationship and rigour

Lisa M Vaughn

Associated Data

Introduction

Purpose of semistructured interviews

Designing and conducting semistructured interviews

Steps for designing and conducting semistructured interviews

Step 2: identifying participants

Step 3: considering ethical issues

Step 4: planning logistical aspects

Step 5: developing the interview guide

Supplementary data

Step 6: establishing trust and rapport

Step 7: conducting the interview

Beginning the interview

Interviewer stance

Active listening

Continuing the interview

Step 8: memoing and reflection

Step 9: analysing the data

Step 10: demonstrating the trustworthiness of the research

Step 11: presenting findings in a paper or report

Conclusions

Further Reading

Interviews in the social sciences

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