Qualitative research

Turn interview detail into a research view you can inspect.

Organize IDIs and group discussions around your study objectives. AutoQC can configure respondent-level content grids, theme analysis and synthesis that preserve the statements, differences and exceptions your researchers need to understand.

Discuss your qualitative study

From a recording corpus to an answerable study

Your interviews are complete, but the insight is scattered across long conversations. You need to compare experiences, understand why respondents differ and build an argument for the study objectives. Start with the guide and the analysis grid you want to work in, then connect each finding back to the relevant source.

Start with your workflow

The inputs that make the analysis useful

Study brief, guide and recordings

Provide the research objectives, discussion guide and IDI or FGD recordings or transcripts. Identify which sections need extraction, interpretation or both.

Respondent attributes and grid

Supply respondent IDs, relevant usage or demographic attributes and the desired grid structure. Define group membership from your records rather than guessing it from speech.

Build the grid around the research question

A useful grid does more than shorten each interview. It captures the material needed for each objective: experiences, reasons, tradeoffs and unanswered questions. Agree sections and subsections with your researchers so the structure follows the study, including topics that emerge beyond the original guide.

Preserve the respondent behind the theme

Keep individual summaries and source references available for review. A theme should not erase a respondent who disagrees or combine different experiences into a single invented view. Where speaker attribution is uncertain, particularly in overlapping group discussion, retain that uncertainty instead of assigning a statement confidently.

Compare the cuts that matter

Compare supplied groups such as frequent and occasional users, regions or journey stages. Report which participants contributed to each contrast and retain within-group differences. These are findings from the study participants; they do not establish how common a view is across the whole market.

Synthesize agreement, tension and gaps

Connect the evidence to your objectives, including conflicting accounts and topics the interviews did not resolve. Researchers can challenge whether a synthesis is supported, whether a quotation reflects its context and whether an apparent difference is driven by one participant. Those checks belong in the evaluation, alongside representative audio and discussion formats.

Illustrative example

A usage contrast with an exception

A usage contrast with an exception
RespondentSupplied groupContent-grid findingSource reference
DEMO-R1Frequent userValues quick preparationInterview 1, preparation section
DEMO-R2Occasional userUncertain about preparation stepsInterview 2, preparation section
DEMO-R3Frequent userStill finds instructions unclearInterview 3, preparation section

Fictional teaching example, not actual client output. The evaluation will establish the required output structure.

Agree the research deliverable

Scope the grid, source-reference approach, synthesis depth and review process around your study. Group audio, multiple languages and speaker attribution need representative evaluation.

Questions about this workflow

Can you use our existing analysis format?

Bring the grid or reporting structure your researchers use. We can scope extraction and synthesis to that format, then review sample cells and findings before extending the analysis.

What should a sample include?

Include typical interviews and difficult cases: long discussions, disagreement, code switching and overlapping speakers where relevant. Agree access after contact, along with the attribution and quotation review expectations.

Related use cases

01 / Research operations

Research fieldwork quality control

Your fieldwork batch is ready for processing, but checking a few interviews leaves questions unanswered. Did the respondent meet the study criteria? Does the entered answer match what they said? Was a required probe used? Bring those questions into one study-specific review, with the record and question identifiers your team already uses.

Explore this use case: Research fieldwork quality control
02 / Sales and customer understanding

Voice of customer analysis from conversations

Support calls, onboarding discussions and customer follow-ups contain requests that never reach a survey. Your CX or product team needs to see which concerns recur, what customers actually mean and where a closer investigation would be useful.

Explore this use case: Voice of customer analysis from conversations
03 / Survey data operations

Survey audio transcription

Your survey has recorded open-ended answers, but a folder of text files is not enough for coding or analysis. Each response needs the correct project, respondent and question. Define that linkage at the start so your team can reconcile the export with the survey records and inspect mapping exceptions.

Explore this use case: Survey audio transcription

Start with the questions your study must answer

Tell us about the objectives, participant groups and research output. We will agree an evaluation that your researchers can review against the source.

Discuss your qualitative study