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.

Take one or many customer-interview files you already have and extract the AJTBD structure from them — segments by Core Jobs, personas, Consideration Set, existing Solutions and Problems, value hypotheses — using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a folder or list of files: deep-interview transcripts, interview notes, sales-call or demo transcripts, support/chat logs, survey open-ends. The interviews may be AJTBD or not, well- or poorly-conducted, one file or dozens. The skill first asks which business task you're solving (and helps you choose if you can't name one), then reads each interview in its own subagent (a fan-out so it never overflows context, no matter how many large transcripts), extracts the Core Jobs with an honest per-interview confidence (a clean extraction vs. a weak hypothesis), gives per- interview feedback (what was pulled, what's missing, whether this interview can even serve your business task),…

Grade

D

Quality

55 / 100

Safety

Passed

GitHub stars

251

Unproven: rated by static analysis only, not yet compared head-to-head.

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