nmt-analyze-interviews

nmt-analyze-interviews is a User interviews & surveys skill for AI agents, published by zamesin in the Next-Move-Theory-Canon-and-Skills repository on GitHub. Skillspace rates nmt-analyze-interviews D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Extract the AJTBD structure from customer-interview files you already have — segments by Core Jobs, personas, the Consideration Set, existing Solutions and Problems, and value hypotheses — using Ivan Zamesin's Next Move Theory / Advanced Jobs To Be Done methodology. Input — one or many files (transcripts, notes, sales or support calls, survey open-ends), AJTBD or not. It reads each interview in its own context so it never overflows, scores each extraction's confidence, clusters into segments by similar Core Jobs, and writes one report — data-quality summary, segments with personas, structured Solutions and Problems, a Consideration Set, value hypotheses, and what to interview next. Use for "analyze my interviews", "extract jobs from these transcripts", "find the segments in these calls". Defaults to English.

Grade

D

Quality

55 / 100

Safety

Passed

GitHub stars

251

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