Analysis turns completed interviews into decision-ready insight through interactive exploration and structured reporting. All analysis is grounded in verbatim responses from participants.Documentation Index
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Chat-based analysis
Once interviews are complete, you can explore the data using chat — asking natural-language questions of the interview dataset and receiving respondent-attributed answers. Typical uses include:- Identifying key themes, risks, or tensions.
- Comparing responses across segments or markets.
- Stress-testing early interpretations (“What’s the strongest objection?”).
- Pulling illustrative quotes to support a claim.
| Goal | Example prompt |
|---|---|
| Thematic overview | ”What are the main themes in how participants talk about financial security?” |
| Segment comparison | ”How do responses to the stimulus differ between parents and non-parents?” |
| Risk identification | ”What are the strongest objections or concerns participants raised about this campaign?” |
| Quote extraction | ”Find me 3–4 quotes where participants talk about trust in healthcare providers.” |
Traceability and evidence
Analysis outputs are accompanied by citations that trace each claim back to specific verbatim responses and their location in the transcripts. This lets you:- Validate interpretations.
- Verify that themes are supported by actual participant language.
- Avoid “black box” insight where you can’t see the source.
- Pull additional quotes or context as needed.
Grounding in transcripts is the core safeguard against the model substituting its own opinion for participant data. When a theme is surfaced, you can always trace it back to who said what, and in what context.
Next: automated reports
Turn completed interviews into a structured, evidence-backed report.