continuous-interview-synthesis

To synthesize user interview notes, you cluster moments across transcripts by underlying struggles to form opportunities. This surfaces patterns of unmet needs and maps them to OST opportunities, avoiding feature requests.

Continuous discovery interview synthesis is the process of extracting struggles and unmet needs from user interviews. It clusters qualitative data across multiple interviews to surface patterns, emotions, and outcomes mapped to OST opportunities.

To map user interview insights to OST opportunities, you cluster interview moments by underlying struggle rather than feature requests. This produces an OST mapping alongside an executive synthesis and a prioritized opportunity list with evidence.

Yes, you can load and structure data from multiple interview transcripts simultaneously. The synthesis clusters struggles, emotions, and outcomes across all loaded transcripts to surface cross-interview patterns and opportunities.

Qualitative interview analysis outputs include an executive synthesis, a prioritized list of opportunities with strongest evidence, OST mapping, interview quality assessment, and recommended next steps for validating assumptions.

To extract user struggles instead of feature requests, you cluster interview moments by underlying unmet needs and emotions. This continuous discovery methodology ensures you map actual problems to OST opportunities rather than requested solutions.