user-research-synthesis

Invoke the skill and paste your transcripts or notes. It extracts individual observations with verbatim quotes, clusters them into themes using affinity mapping, then generates prioritized recommendations with frequency counts, severity ratings, and success metrics.

The skill recommends 5-8 interviews with the right users for thematic saturation. Three to four interviews yield preliminary findings, while fewer than five typically means themes lack depth and more research is advised.

Affinity mapping groups individual observations into themes based on patterns across multiple users. The skill automates this by clustering extracted quotes, behaviors, and pain points, then rating each theme by frequency and severity.

Yes. It applies Mom Test heuristics to flag future predictions, hypotheticals, compliments, and leading-question responses as unreliable, while prioritizing past behaviors, specific stories, and observed workarounds as high-quality signals.

It saves a full synthesis report to outputs/research-synthesis/[topic]-[date].md, including an executive summary, themed findings with quotes, contradictions, missing-segment analysis, and an appendix of raw observations.

Do more research when themes lack depth, contradictions remain unresolved, you interviewed fewer than five users, or critical segments are missing from your sample. The skill flags these gaps in a Missing Voices section.