interview-synthesis

Synthesize customer interview notes for continuous discovery by converting raw transcripts into structured snapshots, theme rollups, and Opportunity Solution Tree updates using Torres' snapshot methodology.

Classify evidence quality from product interview transcripts by applying Fitzpatrick's evidence-quality filter to extracted quotes and assigning confidence ratings using Gilad's Confidence Meter.

Update an Opportunity Solution Tree with new customer insights by integrating classified evidence and extracted themes from interview snapshots directly into the existing tree structure.

Extract verbatim customer language from interview notes for marketing analysis by processing raw transcripts to populate a dedicated quote bank with classified customer statements.

Interview synthesis processes standard markdown files containing raw notes or transcripts, requiring no specific dependencies to transform unstructured interview content into actionable product artifacts.