Analyzing in-depth interviews: a table and sample findings
How to turn a few long conversations into conclusions that have a source, boundaries, and a clear next step.
From replica to informed decisionDon't miss the intermediate steps of the analysis
Short response
To analyze in-depth interviews, first check the transcriptions, then highlight meaningful fragments, group them in meaning, and match the participants. For each conclusion, save the quote, context, timecode, and cases that contradict it. Below is a working matrix and an example: how to get a test hypothesis for the product from a complaint about the agreement.
Contents
- First, formulate a research question
- Prepare the transcription and save the context
- Highlight the observations and assign them short tags
- Analysis matrix: a completed example
- How to write a conclusion that can be verified
- What to transfer to the command instead of the transcription folder
- Verification before discussing results
- Frequently asked questions
First, formulate a research question
After five conversations, it’s easy to remember the emotional participant and build the entire report around his story. Another risk is to get five neat retellings, from which it is unclear what to change in the product. Before the analysis of the records, write down what decision the team should make.
For example: “Why do small team leaders agree on documents in correspondence, although they have a system of tasks?” This is more specific than “knowing the needs of users.” In the first case, you will look for situations of harmonization, participants, workarounds and consequences. In the second, almost any line will seem important.
Separate the initial assumption from the result. The phrase “they need a new interface” is a possible explanation. The question is, “What step do people get out of the system?” allows you to check other reasons: lack of access, incomprehensible responsibility or habit of colleagues.
This material is a practical analysis of customer interviews for the product team. For scientific work, the method of analysis and the requirements for its description should be selected separately; the table does not replace the research methodology.
Prepare the transcription and save the context
Give each participant a neutral code: R01, R02, R03. Next, specify only signs important for research, such as the role and experience of working with the product. The work table does not need personal phones and full names.
- Check the speakers. The question of the interviewer should not be the opinion of the participant.
- Check the semantic places. Denials, numbers, conditions, and names are especially important. “I don’t send” and “send” lead to opposite conclusions.
- Leave the fragment address. The recording code and timecode will help the colleague quickly check the quote.
- Keep the neighborhood replicas. The answer “yes” without a question is almost useless, and an ironic replica without context can look like an endorsement.
Do not correct live speech so that the participant becomes more confident than it was. “Probably a couple of times” cannot be turned into “regularly.” If the record is illegible, note this and do not use the phrase as an accurate proof.
The detailed order of the proofreading is in the article How to Check and Fix Transcription.
Highlight the observations and assign them short tags
Re-read the interview in its entirety, then note the fragments that answer your question. One fragment may contain several observations. A user-friendly label describes an action or obstacle: “waits for the coordination of the manager”, “duplicates the link to the chat”, “does not see the status of the document”.
In the manual GOV.UK on analysis of research sessions observations are proposed to be separated from their interpretation, grouped in meaning and only then proceed to conclusions and actions. In practice, different columns of the table are enough for this.
Don’t start with appraisal labels like a “lazy customer.” Write the observed: “did not open the instruction before the first launch.” The reason is unknown. Perhaps the person did not find the link or the instruction did not answer his question.
If you disassemble the material together, first compare a few fragments. Discuss what everyone understands by labels. The disagreement is useful to record: it shows a place where data or context is not yet enough.
Analysis matrix: a completed example
Below is a fictional example of a study of document harmonization. Quotes and timecodes are created to explain the method.
| Source | Remark and context | Observation / tag | What to check |
|---|---|---|---|
| R01 · 12:40 Team leader | “I put the link in the chat, otherwise I don’t know if I saw it.” It is a regular application. | Duplicate notification; does not see receipt | Is there a noticeable viewing status in the system? |
| R02 · 08:15 Coordinator | “I see the status, but the director has no access.” It is about budget harmonization. | Uses chat due to access consistent | Who gives access and why it was not issued? |
| R03 · 19:02 Team leader | “I write only an urgent chat, the rest goes inside.” | Chat is a separate channel for urgent cases | How is urgency determined? |
All three mentioned chat, but the reasons are different. Combining them into a conclusion “users don’t like the system” – to lose the content of the interview. A more useful result: highlight three scenarios and check each separately.
For your table, use the fields: participant → context → exact quote → timecode → observation → interpretation → open question. If the string becomes too long, leave a short fragment in it, and store the full transcription separately.
How to write a conclusion that can be verified
First compare cases within one group: for example, managers with managers. Then look at how the experience of the coordinators is different. The same words in different roles can mean different tasks.
Observation: R01 duplicates the link because he does not understand whether the addressee has seen it.
Careful conclusion: in this scenario, a person lacks confirmation of receipt of the document.
The withdrawal boundary: this explanation does not fit R02: there is an access issue. R03 uses chat only for urgent tasks.
Next check: show a prototype of understandable status to participants with a similar scenario and see if it solves their task.
If you consider mentions, consider the participants and determine the rule in advance. Ten replicas of one person are not equal to ten independent confirmations. The wording “three of the six respondents described such a case” refers to your group, not to half of potential buyers.
Do not prioritize only the frequency. A single obstacle can completely block the task of an important segment. In the report, share the prevalence in the sample, the consequences of the problem and the confidence in the explanation.
What to transfer to the command instead of the transcription folder
Gather a short document: a research question, who was interviewed, basic observations, supporting fragments, contradictions and the following checks. At the end, attach a matrix and references to sourcers with suitable access rights.
For each withdrawal, use one card:
Theme: [What task a person understands].
What they found: [screenplayed].
Reasons: [R01, 12:40; R04, 07:18].
Exceptions: [who has different and why].
What we don't know: [missing data].
What we check next: [action, responsible, criterion].
Sammari helps to remember the content of the conversation, but primary replicas are needed for analysis. If you use AI for a draft grouping, ask to save the participants’ codes and references to snippets. Check every quote offered: a beautiful generalization without a source does not fall into the report.
transcription removes some of the work on the transfer of speech to the text. Interpretation, choice of priority and product solution remain the task of the researcher and the team.
Verification before discussing results
- Each output has a verifiable source.
- The participants' words are separate from the researcher's explanation.
- Roles and situations are not mixed into one group.
- Conflicting cases are preserved.
- The number of interviews is not issued for market statistics.
- The next step is formulated as a test or action, not as a promise of growth.
Ask a colleague to choose one take and walk from it to the record. If the chain is restored without your oral explanations, the material is convenient to check and use further.
Frequently asked questions
Can you analyze an interview without full transcription?
Yes, if the task is narrow and you save exact fragments with context. When comparing multiple conversations, a full verified text is usually more convenient: less risk of skipping a contradiction outside of the chosen quote.
Do I need a special program?
For a small series, the tables and available to the record team are sufficient. More important are the single fields, clear labels and the connection of each output with the source.
How much interview is enough to withdraw?
There is no universal number: it depends on the question, the diversity of the participants and the method of research. Describe the boundaries of the data received and do not announce the entire audience studied in several conversations.
Can I give the whole analysis of the neural network?
Use her suggestions as a draft. Checking quotes, differences between participants and alternative explanations requires work with the source material.
Methodical support: GOV.UK — analysis of the research session. The matrix and the educational example in the article are developed by the editorial office.
Start the analysis with the text being checked
Send to process the recording of the interview in Transkribator and get transcription with timecodes. It will become the source material for your matrix: quotes can be compared, and controversial places can be returned to the record.
Convert interviews to textCheck the important wording and timecodes for the original record before using the text.