Types of Research Interviews (Focus Groups, Structured, etc.): Steps and Examples

Research interviews are among the most widely used data collection methods in academic and professional research. A researcher asks questions of one or more participants to gather first-hand accounts of their experiences, opinions, behaviors, attitudes, and knowledge. The different types of research interviews vary along three dimensions: level of structure, mode of delivery, and research purpose. This guide explains all 11 types with examples, pros and cons, a side-by-side comparison, and a practical framework for choosing the right format for your study.

What Is a Research Interview?

A research interview is a purposeful conversation between a researcher and one or more participants, designed to collect data on a defined topic. Its three defining features are:

• A clear research purpose set by the interviewer, rather than casual conversation
• Question-and-answer interaction, with the researcher guiding the exchange
• Systematic recording of responses, and often non-verbal cues, for later analysis

Depending on design, interviews can yield qualitative data (words, stories, meanings), quantitative data (counts, ratings), or both. They are common across social science, health care research, education, market research, and user experience studies.

Why Researchers Use Interviews

Advantages Over Other Data Collection Methods

• Depth and richness: open-ended conversation reveals why participants think or act a certain way, not just what they do.
• Participant-centered insight: interviews capture personal narratives, emotions, and beliefs in the participant’s own words, which is especially valuable for marginalized or underrepresented groups.
• Real-time clarification: the interviewer can probe ambiguous answers and validate understanding on the spot, improving accuracy.
• Non-verbal cues: body language, facial expressions, tone, and pauses add context that written methods miss.
• Contextual understanding: participants can explain the social, cultural, and environmental factors shaping their experiences.
• Discovery and theory building: unanticipated themes often emerge mid-conversation, refining hypotheses or generating new theory.
• Flexibility: interviews adapt to sensitive topics, can run longitudinally to track change over time, and combine with surveys or observation for triangulation.

Limitations to Keep in Mind

• Time-consuming to schedule, conduct, transcribe, and analyze
• Small samples limit generalizability of findings
• Vulnerable to interviewer bias, leading questions, and social desirability bias
• Data quality depends heavily on interviewer skill and rapport

Types of Research Interviews by Structure

1. Structured Interviews

A structured interview (also called a standardized interview) follows a fixed list of predetermined questions asked in the same order for every participant. Questions are usually closed-ended, which makes this format a predominantly quantitative tool, common in large surveys.

Example (clinical research):

• Have you experienced side effects since starting the medication? Yes/No
• How would you rate their severity? (1) Mild (2) Moderate (3) Severe (4) Very severe

Advantages:

• Standardized responses are easy to compare across participants and analyze statistically
• High reliability and replicability across samples and interviewers
• Reduced scope for interviewer bias, since every participant receives identical questions
• Quick to administer; reaches large samples efficiently
• Patterns in responses emerge clearly

Disadvantages:

• No flexibility to probe interesting or unexpected answers
• Limited depth; comparability comes at the cost of nuance
• Fixed answer options force a best-fit choice, risking response bias
• Can feel overly formal, which may inhibit candid answers

Best fit when:

• You know your topic well and need comparable data from many participants
• You have limited time or analysis resources
• Your research question requires holding conditions constant across respondents

2. Semi-Structured Interviews

A semi-structured interview combines a planned framework with conversational freedom. The researcher prepares a core interview guide but can vary question order, rephrase, and ask follow-ups based on responses. Often called the best of both worlds, it is the most widely used interview type in qualitative research.

Example (public health study):

• How has managing diabetes affected your daily routine?
• Follow-up: You mentioned skipping medication when traveling. Can you tell me more about that?
• What support, if any, have you received from your healthcare team?

Advantages:

• Flexibility to explore unexpected insights while keeping comparability across interviews
• Produces rich, reliable qualitative data
• The prepared guide keeps the conversation aligned with research objectives
• Usually avoids the need for repeat interview rounds

Disadvantages:

• If questions differ substantially between participants, comparison and generalization become harder
• Spontaneous follow-ups can easily become leading questions, so interviewer skill is required
• More time-intensive to analyze than structured formats

Best fit when:

• Your research question is exploratory
• You have some interviewing experience
• You want depth without losing all structure

3. Unstructured Interviews

An unstructured interview has no predetermined question list. The conversation flows naturally around a research topic, with each answer cueing the next question. The goal is usually to build rapport so participants speak freely and honestly.

Example (education research):

• Tell me about your experience returning to university as a mature student.
• Based on the response: You said the first semester felt isolating. What was happening at that time?

Advantages:

• Maximum flexibility; ideal for new, complex, or sensitive topics where little is known
• The informal, conversational tone puts participants at ease, encouraging candid and detailed responses
• Allows discovery of themes the researcher never anticipated

Disadvantages:

• Time-consuming to conduct, transcribe, and analyze
• Low standardization makes reliability and comparison across participants difficult
• High risk of interviewer bias and leading questions; demands an experienced interviewer
• Conversations can drift away from the research objective without skilled steering

Best fit when:

• You have strong background knowledge and interviewing experience
• Your study is exploratory and seeks descriptive data to deepen initial hypotheses
• Building trust with participants matters more than comparability

4. Focus Groups (Group Interviews)

A focus group brings together a small group of participants, typically 6 to 10, for a moderated discussion on a specific topic. The researcher acts as moderator, posing questions and observing group dynamics, interactions, and body language alongside verbal responses. Focus groups are widely used in market research, social science, and program evaluation.

Example (university services research):

• A moderator asks eight international students to discuss barriers they faced when accessing campus mental health services, encouraging participants to respond to each other’s points.

Advantages:

• Captures diverse perspectives and collective insights in a single session; efficient and cost-effective
• Group interaction can surface nuanced, authentic, unfiltered feedback
• Participants often feel more at ease in a group than one-on-one
• Easier to organize than large surveys or experiments

Disadvantages:

• Small group size means low external validity; findings do not generalize easily
• Dominant voices can suppress quieter participants (groupthink)
• Risk of the moderator cherry-picking responses that confirm a hypothesis
• Scheduling multiple participants simultaneously is a logistical challenge
• Less suitable for sensitive or private topics

Best fit when:

• Your research focuses on group dynamics, shared experiences, or real-time reactions
• Your questions are rooted in opinions and perceptions rather than yes/no facts

Types of Research Interviews by Mode of Delivery

The structure of an interview is only half the decision. Researchers must also choose how the conversation takes place. Each mode carries practical trade-offs.

Types of Research Interviews by Purpose

Note: these categories overlap and are not mutually exclusive. A study might use semi-structured, in-depth interviews conducted over video. Researchers also frequently combine types within a single project, for example:

• Starting with unstructured interviews to explore a topic, then building a semi-structured guide for a larger sample
• Following up survey responses with interviews in a mixed-methods design
• Pairing focus groups (breadth of views) with in-depth interviews (individual depth)

How to Choose the Right Interview Type

Work through these five questions. The format should serve the research question, not the other way around, because the interview type directly shapes the quality and nature of the data collected.

How to Conduct a Research Interview

Step 1: Define Your Research Objectives

Before designing a single question, write out what your interview must accomplish. A vague objective produces vague data.

Ask yourself:

• What do I need to know that I cannot get from existing literature, documents, or a survey?
• Am I trying to understand a process, explore an experience, explain a behavior, or generate hypotheses?
• What decisions will this data inform?

Step 2: Select the Interview Type and Mode

Match the format to the objective. Two decisions to make:

Structure:

Mode:

Document your choice and rationale in your methods section; peer reviewers or dissertation examiners will ask.

Step 3: Recruit Participants

Decide on a sampling strategy before reaching out. The most common qualitative approaches:

• Purposive sampling: deliberately select participants who have the experience or characteristics relevant to your question. Most common in qualitative research.
• Snowball sampling: ask early participants to refer others. Useful for hard-to-reach groups, but watch for network homogeneity.
• Maximum variation sampling: deliberately seek participants across different demographics, contexts, or experiences to capture the breadth of a phenomenon.
• Criterion sampling: set minimum inclusion criteria (e.g., must have been diagnosed for at least 12 months) and exclude anyone who does not meet them.

Step 4: Develop the Interview Guide

An interview guide is not a rigid script. It is an organized reference document the interviewer uses to keep the conversation purposeful without locking it down.

Structure of a well-designed guide:

1. Opening statement: introduces you, the study, how the data will be used, and the recording arrangement (2–3 sentences, read aloud)
2. Warm-up question: easy, factual, non-threatening; gets the participant talking before you go deeper
3. Core theme blocks: typically 3–5 thematic areas, each with 2–4 main questions and a short list of possible probes
4. Closing: asks if the participant wants to add anything; thanks them; explains next steps

Annotated example of a one-theme block:

Common question-writing mistakes and how to fix them:

Step 5: Plan Logistics

Logistics problems are the most common reason for lost data. Plan each of the following before the first interview:

Recording:

• Use a dedicated recorder or a tested app, not your default phone voice memo
• Always run a backup recording on a second device
• For video interviews, record locally as well as through the platform, in case of a connection drop
• Name files immediately after each session with participant ID and date (e.g., P03_2026-06-10.mp4)

Transcription:

• Decide in advance between verbatim (every word, filler, and pause) and clean transcription
• Verbatim is required for conversation analysis; clean is usually sufficient for thematic analysis
• Automatic transcription tools are fast but always need manual checking. Budget time for this
• One hour of audio takes approximately 4–6 hours to transcribe manually

Consent and confidentiality:

• Prepare a consent form that covers the study purpose, recording, data storage, right to withdraw, and how findings will be published
• Send the form before the interview so participants can read it without time pressure
• Keep signed copies stored separately from the interview data

Scheduling:

• Send a calendar invitation with platform link (for video) or address (for in-person) as soon as a time is agreed
• Send a reminder 24–48 hours before
• Have a fallback plan: if a video call drops, are you calling back on phone?

Step 6: Obtain Informed Consent

Informed consent is an ethical requirement, not a formality. It must be free, fully informed, and documented before any data collection begins.

At the start of every interview, cover five things verbally, even if the participant has already signed a written form:

1. The purpose of the study and who is conducting it
2. What will happen during the session and how long it will take
3. How the recording and data will be stored, who will access them, and when they will be deleted or anonymized
4. That participation is voluntary and they can stop or skip any question at any time, without giving a reason
5. How findings will be shared and whether they will be able to review a summary

Annotated consent script opening:

Before we start, I want to run through a few things. The interview will take about 45 minutes. I am recording the audio so I do not miss anything. The recording will be transcribed and your name will be removed from the transcript. Only I and my [co-authors/supervisor] will have access to the data. You can stop at any point or skip any question; it will not affect anything. Do you have any questions before we begin?

This takes under 60 seconds and noticeably changes participants’ comfort level.

Step 7: Pilot-Test and Rehearse

A pilot interview is the single most valuable preparation step most researchers skip. Run at least one practice session with a colleague, friend, or volunteer who resembles your participant profile.

What to test:

• Timing: does the guide fit within the promised session length?
• Clarity: which questions produce blank looks or requests for clarification? Rewrite them.
• Flow: does the sequence feel natural, or do topic jumps feel abrupt?
• Recording setup: is the audio quality usable? Is the backup device working?
• Your own habits: are you finishing participants’ sentences? Nodding too much? Filling silences before they resolve?

If multiple interviewers are involved:

Conduct a joint calibration session where each interviewer interviews the same volunteer and the team reviews consistency. Inconsistent interviewer behavior is one of the hardest threats to reliability to fix after data collection.

Step 8: Conduct the Interview

The interview itself has four distinct phases.

2. Opening (first 3–5 minutes): Build rapport before any substantive questions. Start with something easy and factual.
3. Core phase: Work through your theme blocks, but treat the guide as a map, not a timetable. Listen for:

• Unfinished thoughts: I did try once, but… — probe these
• Emotional weight: a change in tone or pace often signals something important
• Contradiction: if a participant says one thing then later implies another, explore it gently (Earlier you mentioned X; how does that fit with what you just described?)
• Jargon or shorthand: ask them to unpack it. Do not assume you know what they mean

How to probe effectively during a research interview:

3. Closing: End every interview with an open invitation:

Is there anything else you think is relevant, or anything I should have asked you that I did not?

Participants frequently raise the most candid or significant points here, when they feel the formal part is over. Thank them, explain next steps (when they might receive a summary, how findings will be used), and confirm their preferred contact for any follow-up.

Step 9: Transcribe and Analyze

Transcription:

Begin transcription as soon as possible after each interview. Context and memory of the conversation will help you resolve unclear audio. Number each exchange and add timestamps at regular intervals so you can return to the recording easily.

Analysis approaches:

The choice of analysis method should be decided before data collection, not after:

Regardless of method, code as you go, after each interview, rather than waiting until all data is collected. Early coding reveals emerging themes that can sharpen later interviews.

Ethical Considerations and Managing Bias in Research Interviews

This article was originally published on April 3, 2025, and updated on June 10, 2026.