Analyze Interviews v1

v1 in one breath. You already ran the interviews; this skill pulls the methodology out of them. It takes one or many interview files (transcripts, notes, sales calls, support logs, survey open-ends — AJTBD or not, good or bad), asks which business task you're solving (and helps you pick one if you can't), assigns stable deduplicated respondent/observation IDs, then reads each source in its own subagent — a fan-out that keeps the run from ever overflowing context no matter how many large transcripts you load. Each canonical ID is distilled to the AJTBD constructs with an honest confidence (a clean Core-Job extraction vs. a weak hypothesis) and per-source feedback (what was found, what's missing, whether that ID can serve your task). The distillations are clustered into segments by similar Core Jobs + similar success criteria + similar priority order, and each segment's confidence is computed from its deduplicated supporting IDs. Output — one report: data-quality summary, segments with personas, structured Solutions + Problems, a Consideration Set per segment, value hypotheses, and what to interview next.

Producer contract (binding) — ../nmt-chat/references/producer-contract.md. In addition to the shared orientation, output, input-as-hypothesis, path, and Deep-mode rules, this skill must (7) reuse or ask for market + audience language only when it changes the task; (8) keep repo-context reads permissioned; (9) tag claims backed, derived, or hypothesis; (10) report independent n/N counts and source IDs, hold single signals out of segment conclusions, and map every source to its segment; (11) scale confidence to the actual evidence. The hooks below wire each into this skill.

New here, or not sure this is the right skill? Start right here — or run nmt-chat, describe your situation, and it points you to the right one. Quick map: new idea → nmt-market-research · live product or a metric moved → nmt-diagnose · have customer interviews → nmt-analyze-interviews · ready to build → nmt-product-requirements · positioning / launch copy → nmt-craft-value-proposition → nmt-craft-go-to-market.

Where this skill sits

The post-fieldwork counterpart to nmt-interview-guide. nmt-interview-guide designs the study before the field; this skill analyzes the transcripts after. Distinct from nmt-market-research, which invents segments from web research and reasoning — this skill reconstructs segments from your real interviews and tells you how far the data can be trusted. Its output feeds nmt-craft-value-proposition, nmt-diagnose, and nmt-craft-go-to-market.

What this skill produces