← ClaudeAtlas

synthesize-discovery-interviews-with-counterexampleslisted

Build a traceable need hypothesis from a bounded set of customer interviews, counting people rather than repeated remarks and keeping counterexamples visible.
alisonjieli-png/loop-engine · ★ 2 · AI & Automation · score 68
Install: claude install-skill alisonjieli-png/loop-engine
# Synthesize discovery interviews with counterexamples ## Use case Use when interview notes or transcripts must inform a product decision. Produce an evidence matrix and hypotheses for review, not a claim that the wider market behaves the same way. ## Required inputs - A bounded interview set with stable session and participant references, collection dates, and permission to use its contents for this analysis. - The recruiting rule or known sample limits, the questions asked of each participant, and the product decision under consideration. - Any supplied rule for masking participant or company details in the output. ## Procedure 1. Identify each distinct participant and organization without exposing unnecessary identity. Mark repeated sessions with the same participant so they cannot inflate the count. 2. For each relevant account, separate the participant's stated task, the concrete episode described, an observed behavior if one was actually observed, and the analyst's interpretation. Keep a source reference for each. 3. Group accounts by the task or obstacle they describe. For each theme, count distinct participants who had a documented chance to discuss it; show the eligible denominator and participants who were not asked or whose opportunity is unknown separately. Also show how many accounts came from one person. Do not treat silence from an unasked participant or repeated remarks as independent demand. 4. Look for people who completed the task without the proposed