interview-mapper

Topics in the source

• Interview Mapper
• Distinct from product-research
• Workflow
• 16 lenses (1-on-1 + group formats)
• Pipeline (S0–S8)
• Scripts
• Honest limits
• Anti-patterns

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. 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 ../product-research/SKILL.md. 1. Route the intake. python3 scripts/route.py --goal --respondent picks the lens (which of 16 templates) and output, and returns the applicable pipeline steps. 2. Number and verify. python3 scripts/numberlines.py transcript.(txt|docx|srt|vtt) numbers lines for traceability (from subtitles it also writes timecodes and speakers to a sidecar, and fla

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