synthesize-interviews

You can synthesize user interviews by providing raw transcripts, notes, and feedback to extract structured themes, pain points, and actionable recommendations. This generates a Markdown synthesis report and a separate pain points document with labeled quotes and evidence provenance.

The best way to analyze multiple interview transcripts is to process them together to generate a standalone pain points document. This approach clearly labels extracted themes and quotes while maintaining evidence provenance directly from the provided interview inputs.

Yes, you can use raw notes and feedback to generate a user research synthesis report. The synthesis process accepts these unstructured inputs and converts them into structured Markdown outputs, highlighting actionable recommendations and core themes.

No, interview synthesis requires no external tools or dependencies to process transcripts. It operates solely on the provided inputs, such as interview notes and transcripts, to output structured Markdown themes and pain points directly.

When analyzing user feedback, quotes and evidence provenance are preserved by clearly labeling them within the Markdown output. This ensures that every extracted theme and pain point in the synthesis report traces directly back to the original transcript.

You should avoid automating interview findings extraction if your raw data lacks sufficient text detail or context. Since the process relies entirely on provided inputs without external tools, incomplete notes may yield fragmented themes and pain points in the final Markdown report.