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interview-mapper

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Use when coding or making sense of one interview transcript (customer, JTBD, expert, usability, exit). Extracts verbatim-grounded nuggets with extract_nuggets.py, verifies quotes with verify_quotes.py and checks conclusions hold across reruns with consensus.py.

research-ops/skills/interview-mapper/SKILL.md

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# Interview Mapper

Turns one interview transcript into a structured mapping where every conclusion is grounded in a
**verbatim quote** (checked by a script, not by eye), analysis is checked across **multiple runs**
(disagreement is flagged, never silently resolved), and cross-interview patterns require
**triangulation across independent sources** before being called an insight.

## Distinct from product-research

`research-ops/skills/product-research` operates one level up: it picks the research *method*
(generative vs evaluative), sizes the sample, and synthesizes already-coded observations into an
insight repository — it never touches a transcript. This skill is the transcript-level layer:
it reads the raw interview, produces the per-lens coding with quote-level grounding, and hands
verified, triangulated evidence to `product-research`'s synthesis step (or works standalone). See