Interview Design and Analysis for Dissertations

Written By

Robert Clark

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Interviews are brilliant for dissertations. They let you explore experiences, understand decisions, and capture complexity that questionnaires can't touch. But interviews done poorly, and I've seen plenty of poor interviews, produce data that's messy, difficult to analyse, and often doesn't actually answer your research question.

Getting interviews right requires thinking carefully about what you want to learn, how you'll ask questions to elicit genuine responses rather than what people think you want to hear, and how you'll analyse hundreds or thousands of interview words into meaningful findings.

Why Interviews Suit Particular Research Questions

Interviews work brilliantly for research questions asking "how?" and "why?", particularly when exploring experiences, decisions, or complex processes.

"How do mature students experience returning to study?" That's an interview question. You want nuance. You want to understand what actually shapes their decisions and how they work through challenges. Questionnaires would capture whether they're struggling, but interviews capture how they're struggling and what helps them persist.

"Why do some teachers adopt innovative teaching methods while others don't?" Again, an interview question. You're exploring motivations, barriers, and decision-making processes. Questionnaires could show percentages; interviews show mechanisms.

"What factors shape career decisions amongst final-year engineering students?" You might use questionnaires (asking about factors students identify as important), but interviews would reveal factors students didn't consciously recognise as shaping their decisions.

The language of your dissertation should be precise enough to convey your meaning without ambiguity but accessible enough that a reader with general knowledge of your field can follow your argument without difficulty.

By contrast, "How many students use tutoring services?" doesn't require interviews. An administrative query or survey suffices. "What percentage of graduates are employed six months after graduation?" doesn't require interviews. Questionnaires work fine.

Match your method to your question. Interviews suit exploratory questions about experiences, decisions, and mechanisms.

Designing Interviews That Produce Usable Data

Your interview design starts with clarity about what you want to learn. Write down precisely what you want to understand. Then design your interview protocol, your list of questions, to elicit that understanding.

Avoid leading questions. "Don't you find that mature students struggle with confidence?" leads participants towards particular answers. Better: "How would you describe your experience returning to education?" Let participants shape their answers.

Avoid yes/no questions in interviews. "Did you enjoy your degree?" Yes or no. Dead end. "Tell me about your experience during your degree" invites narrative. Narrative reveals complexity and contradiction that yes/no answers never will.

Use open questions. "What factors shaped your career decision?" is open. "Did you choose engineering for financial security?" is closed. Open questions invite elaboration. They let participants tell you what matters to them rather than forcing them towards your predetermined categories.

Sequence your questions thoughtfully. Start with less personal questions to establish rapport. Move to more sensitive questions once trust has built. End with questions that let participants reflect positively on the interview.

And prepare prompts. If someone gives brief answers, you need prompts to encourage elaboration. "You mentioned that your family wasn't supportive. Can you tell me more about that?" Prompts aren't leading; they're follow-ups that deepen exploration.

Ethical Interview Considerations

Interviews require informed consent. Participants must understand what you're studying, what you'll do with their data, and what participation involves. Don't just assume consent because someone showed up. Explicitly explain the research, answer questions, and obtain written consent.

Confidentiality matters. Remove identifying information from transcripts. Use pseudonyms or participant numbers in your written work. If your participants're from small populations, even anonymised quotes might be identifiable. You might need to aggregate findings without direct quotes.

Audio-recording requires explicit consent. Some participants consent to interviews but not recording. Respect that. You can take notes instead.

And recognise power dynamics. You're the researcher. Participants might feel obliged to answer or to say what they think you want. Create space for honesty. Acknowledge that you want their genuine experiences, not answers they think are expected.

Ethical considerations should be at the forefront of your thinking from the very beginning of your research, not as an afterthought that you address in a brief paragraph of your methodology chapter. If your research involves human participants, you will need to obtain ethical approval from your university's research ethics committee before you begin collecting data, and you must ensure that your participants give fully informed consent to their involvement. Protecting the confidentiality and anonymity of your participants is a binding ethical obligation, and you should put in place strong measures to ensure that individual participants cannot be identified from the data you present in your dissertation. Even if your research does not involve human participants directly, you should consider whether there are any broader ethical implications of your research question or your methodology that your ethics committee or your supervisor should be aware of.

Conducting Interviews That Yield Rich Data

Go in prepared but flexible. You've got your question list, but genuine conversation might take unexpected directions. That's okay. Follow interesting directions. Your protocol is a guide, not a rigid script.

Listen actively. Pay attention to what people say, how they say it, and what they don't say. Note tone, hesitations, emphasis. These often reveal complexity that words alone don't capture.

Manage your time. If you've planned an hour-long interview, stay on track. If you've planned a half-hour but it's flowing well, you can extend slightly. But respect participants' time.

Across different disciplines, supervisor relationships demands careful attention to the basics alone would suggest. This becomes obvious during the revision stage, which is why regular writing sessions matter so much. Developing this habit early saves considerable effort later.

Take notes during interviews, even if you're recording. Note emotional tone, emphasis, body language. These details won't appear in transcripts.

And build in reflection time. After interviews, spend time reviewing notes and your impressions while they're fresh. Write a brief summary of each interview. These summaries prove useful later.

Transcription: The Invisible Labour

Dissertation students who learn to manage their time effectively report lower levels of stress and higher satisfaction with their finished work than those who allow deadlines to dictate the pace of their writing.

Transcription's tedious. Audio to word-for-word text. Every "um" and interruption. Every pause. This takes forever. One hour of interview typically produces 45 minutes to an hour of transcription work.

You've got options. You can transcribe yourself. You'll get intimately familiar with your data, which is valuable. Or you can hire someone. Some universities offer transcription services or can recommend transcribers. This costs money but frees your time.

Your supervisor expects you to arrive at each meeting with evidence of progress and specific questions about the challenges you are facing, rather than hoping they will tell you exactly what to do next.

If you transcribe yourself, do it soon after interviews while memory's fresh. You'll catch nuances better. Build time into your schedule. Don't imagine you'll transcribe everything at the last minute. You won't.

Analysis: Moving from Data to Findings

Qualitative interview analysis typically involves coding, identifying meaningful units within your data and categorising them.

Start by reading all your interview transcripts, marking interesting passages or emerging themes. Don't try to be systematic immediately. Just read and note patterns you notice.

Then move to more systematic coding. Re-read transcripts line-by-line. Ask what's happening in each passage. Code it. Your first pass might generate dozens of codes. That's fine.

Then look across codes. Do some cluster together? "Student isolation," "lack of social connection," "feeling alone in the library", these might all relate to a broader theme about belonging. Group related codes into themes.

Then refine. Are your themes distinct? Do they cohere? Can you define them clearly? Your final themes should be distinct, meaningful, and supported by your data.

Finally, connect themes to your research question. What does your analysis reveal about your question? How do themes relate to each other and to existing literature?

Computer software like NVivo helps organise this work, but many researchers code manually using spreadsheets or colour-coding. The approach matters less than systematic thinking.

Representing Interview Data Honestly

When you present interview findings, you're selecting which quotes to include, which themes to emphasise, how to interpret findings. These choices shape what readers understand.

Represent your data honestly. If findings are mixed, say so. If some participants experienced something and others didn't, that distinction matters. Don't cherry-pick quotes supporting your hypothesis while ignoring contradictory findings.

Quote accurately. Don't clean up grammar so extensively that you misrepresent how someone expressed something. Minimal edits (removing false starts, um's, repetitions) are acceptable. Substantial rewording misrepresents.

And acknowledge your own role. Your interpretation shapes findings. You've selected what matters, created coding frameworks, identified themes. That's legitimate research work. But it's still interpretation. Acknowledge that explicitly.

Frequently Asked Questions

Q: How many interviews do I need? A: This depends on your research question and your population. For a Master's dissertation, you might conduct 8 to 20 interviews. For a PhD, 20 to 50 or more. The key is whether you've reached saturation, the point where additional interviews aren't revealing new information. You've explored your question thoroughly. You've heard enough variations in experience. You can stop there. Don't interview people just to hit an arbitrary number.

Q: Can I do interviews if I'm not confident in social situations? A: Yes, though interviewing requires some comfort with conversation. If you're genuinely anxious about interviews, consider whether a different method might suit you better, questionnaires, document analysis, or observational research. But also know that interview skills improve with practice. Your first interviews'll feel awkward. By your fifth or sixth, you'll be more confident. If your research question genuinely requires interviews, it's worth developing this skill.

Q: Should I interview people I know? A: This creates complications. If you interview friends or colleagues, they might tell you what they think you want to hear. Confidentiality becomes complicated if they know you'll recognise their voice or perspective. When you can, interview people you don't know. If you must interview people you know, be especially clear about confidentiality and encourage honesty. And consider whether a different participant population might work better.

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The transition from coursework essays to a full dissertation can feel daunting for many students, largely because the dissertation requires a much higher level of independent research, sustained argument, and self-directed project management than most previous assignments. Unlike a coursework essay, which typically has a defined topic and a relatively short word count, a dissertation gives you the freedom to choose your own research question and to pursue it in considerable depth over a period of several months. That freedom can be both exhilarating and overwhelming, which is why it is so important to develop a clear plan early in the process and to work consistently towards your goals rather than waiting for inspiration to strike. Students who approach the dissertation as a long-term project requiring regular, disciplined effort consistently produce better work than those who attempt to write the entire dissertation in the final weeks before the submission deadline.