Interviews
Interviews are a qualitative data collection method in which researchers ask participants questions to explore their experiences, opinions, attitudes, behaviours, and perceptions in depth. Interviews are widely used in business and management research because they generate rich, detailed, and context-specific data that is often difficult to obtain through questionnaires or other quantitative methods.
On this page:
- What are Interviews in Research
- Types of Interview
- Interviews in the Age of AI and Digital Research
- Advantages and Disadvantages
- When to Use Interviews
- How to Conduct Interviews
| Type | Structure | Flexibility | Typical Use |
|---|---|---|---|
| Structured | Pre-determined questions | Low | Standardised studies and comparisons |
| Semi-structured | Core questions with follow-up questions | Medium | Most business and management research |
| Unstructured | No fixed questions | High | Exploratory and highly flexible research |
Types of interviews at a glance
Semi-structured interviews are the most commonly used interview format in business research because they balance consistency with flexibility.
What are Interviews in Research?
Interviews involve direct conversations between researchers and participants.
Unlike questionnaires, interviews allow researchers to ask follow-up questions, clarify responses, explore unexpected themes, and gain deeper understanding of participants’ experiences and viewpoints. This makes interviews particularly useful when the objective is not only to discover what people think, but also to understand why they think that way.
For example, a questionnaire may reveal that employees are dissatisfied with management communication. An interview can help uncover the underlying reasons behind that dissatisfaction, providing richer insights into organisational issues.
Choosing the wrong data collection method can limit the quality of your findings.
The Dudovskiy AI Research Assistant can help you determine whether interviews, questionnaires, observation, or another method is most appropriate for your research objectives.
Types of Interviews
There are three different formats of interviews: structured, semi-structured and unstructured.
Structured interviews consist of a series of pre-determined questions that all interviewees answer in the same order. Data analysis usually tends to be more straightforward because researcher can compare and contrast different answers given to the same questions. Structured interviews are more commonly used in quantitative or highly standardised research.
Unstructured interviews are usually the least reliable from research viewpoint, because no questions are prepared prior to the interview and data collection is conducted in an informal manner. Unstructured interviews can be associated with a high level of bias and comparison of answers given by different respondents tends to be difficult due to the differences in formulation of questions.
Semi-structured interviews contain the components of both, structured and unstructured interviews. In semi-structured interviews, interviewer prepares a set of same questions to be answered by all interviewees. At the same time, additional questions might be asked during interviews to clarify and/or further expand certain issues. This format is the most widely used in business studies because it allows researchers to maintain consistency across interviews while still generating rich qualitative insights.
Interviews in the Age of AI and Digital Research
Digital technologies have transformed interview-based research by making participant recruitment and data collection faster, cheaper, and more geographically flexible. Researchers increasingly conduct interviews through platforms such as Zoom, Microsoft Teams, and Google Meet, allowing access to participants across different countries, industries, and organisational contexts without the logistical challenges associated with face-to-face meetings.
One significant development has been the growing use of AI-powered transcription software. These tools can automatically convert interview recordings into text, substantially reducing the time required for transcription and enabling researchers to focus more attention on data analysis. Nevertheless, researchers remain responsible for verifying transcript accuracy, correcting transcription errors, and protecting participant confidentiality.
AI is also beginning to support qualitative data analysis. Modern analytical tools can help identify recurring themes, patterns, and relationships within interview transcripts, making the coding process more efficient. However, the interpretation of findings still requires human judgement, critical thinking, and methodological expertise. While AI can assist with identifying patterns, it cannot determine their significance within the context of the research objectives.
At the same time, digital interviewing creates new methodological and ethical challenges. The absence of physical interaction may reduce opportunities to observe non-verbal communication, while technical issues such as poor internet connectivity can disrupt the flow of interviews. Researchers must also pay careful attention to privacy, data security, informed consent, and the ethical use of digital platforms throughout the research process.
As remote work, digital collaboration, and AI technologies continue to reshape organisations, interviews remain one of the most valuable methods for understanding how individuals experience and respond to these changes. Their ability to generate rich, context-specific insights ensures that interviews will continue to play a central role in qualitative business research.
Planning to use interviews in your dissertation?
The Dudovskiy AI Research Assistant can help you design interview questions, justify your choice of interview methodology, and develop a robust qualitative research strategy tailored to your research objectives.
Advantages and Disadvantages
A key benefit of interviews is their ability to generate rich and detailed data. Unlike many other data collection methods, interviews allow researchers to explore issues in depth and gain insights into participants’ experiences, attitudes, and motivations. This often results in a deeper understanding of complex business phenomena.
Flexibility is another important strength of interviews. Researchers can clarify ambiguous responses, ask follow-up questions, and investigate unexpected themes as they emerge during the conversation. As a result, interviews often produce more nuanced findings than highly structured methods such as questionnaires.
Perhaps the greatest advantage of interviews is their suitability for sensitive and context-dependent topics. Participants can explain their views in their own words, enabling researchers to capture perspectives and experiences that may be difficult to measure quantitatively.
Despite these strengths, interviews are not without challenges. The method can be time-consuming and resource-intensive, particularly when arranging interviews, transcribing recordings, and analysing large volumes of qualitative data.
Researchers should also be aware of the potential for interviewer and interviewee bias. Participants may provide socially desirable answers, while interviewers may unintentionally influence responses through question wording, tone of voice, body language, or reactions during the discussion.
A further limitation relates to generalisability. Because interview-based studies typically involve relatively small samples, findings may not accurately represent the wider population.
Nevertheless, interviews remain one of the most effective data collection methods when the objective is to gain deep, context-rich understanding of experiences, perceptions, and behaviours.
When to Use Interviews
Compared to questionnaires, interviews provide greater depth and flexibility because researchers can ask follow-up questions, clarify ambiguous responses, and explore emerging themes during the conversation.
| Aspect | Interviews | Questionnaires |
|---|---|---|
| Depth of data | High | Limited |
| Flexibility | High | Low |
| Sample size | Usually small | Usually large |
| Time required | High | Lower |
| Data type | Mostly qualitative | Mostly quantitative |
Interviews vs Questionnaires (At a Glance)
Interviews prioritise depth of understanding, whereas questionnaires prioritise breadth and efficiency.
Interviews are most appropriate when your research aims to explore detailed insights, personal experiences, or complex behaviours.
You should use interviews if:
- You want to understand opinions, perceptions, or experiences
- Your research requires in-depth, qualitative data
- The topic is complex or sensitive
- You need flexibility to ask follow-up questions
- Your sample size is small and focused
How to Conduct Interviews
When conducting interviews you should have an open mind and refrain from displaying disagreements in any forms when viewpoints expressed by interviewees contradict your own ideas. Moreover, timing and environment need to be scheduled effectively. Specifically, interviews need to be conducted in a relaxed environment, free of any forms of pressure for interviewees whatsoever.
Respected scholars warn that “in conducting an interview the interviewer should attempt to create a friendly, non-threatening atmosphere. Much as one does with a cover letter, the interviewer should give a brief, casual introduction to the study; stress the importance of the person’s participation; and assure anonymity, or at least confidentiality, when possible.”[2]
There is a risk of interviewee bias during the primary data collection process and this would seriously compromise the validity of the project findings. Some interviewer bias can be avoided by ensuring that the interviewer does not overreact to responses of the interviewee. Other steps that can be taken to help avoid or reduce interviewer bias include having the interviewer dress inconspicuously and appropriately for the environment and holding the interview in a private setting. [3]
Still unsure if interview is the right data collection method for your research?
Get a clear, justified methodology for your research topic in minutes
My e-book, How to Write a Dissertation: A Step-by-Step System to Plan, Write and Defend Your Dissertation in the age of AI contains discussions of theory and application of research philosophy. The e-book also explains all stages of the research process starting from the selection of the research area to writing personal reflection. Important elements of dissertations such as research philosophy, research approach, research design, methods of data collection and data analysis are explained in this e-book in simple words.
Download the e-book and start making progress today
Preparing to Defend Your Methodology?
Understanding research design is one thing. Defending it under examination is another.
If you would like structured guidance on how to justify your methodological choices, respond to challenging viva questions, address limitations confidently, and navigate academic integrity in the AI era, you may find the following resource helpful:
The manual provides a structured system for aligning your research design, strengthening your justifications, and preparing for defense scenarios with clarity and confidence.
Download the manual and prepare to defend your methodology with confidence
John Dudovskiy
[1] Boyce, C. & Neale, P. (2006) “Conducting in-depth Interviews: A Guide for Designing and Conducting In-Depth Interviews”, Pathfinder International Tool Series
[2] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO
[3] Connaway, L.S.& Powell, R.P.(2010) “Basic Research Methods for Librarians” ABC-CLIO