Customer Interview Evidence Synthesizer

The problem

Customer discovery notes and interview transcripts often sit in silos, resulting in fragmented insights and roadmap decisions based on founder gut-feel rather than evidence. Teams struggle to distinguish between one-off requests and genuine market themes, leading to wasted engineering effort.

What it does

• Extracts and groups evidence from transcripts, sales notes, and support summaries into traceable themes.
• Maps customer pains, jobs-to-be-done, buying triggers, and switching objections.
• Identifies contradictions between founder hypotheses, sales notes, and actual customer wording.
• Assigns confidence levels to insights based on source count and segment consistency.
• Generates quote banks and follow-up research checklists to close evidence gaps.

Why this beats prompting it yourself

Generic prompts often hallucinate consensus or ignore conflicting data points to provide a clean answer. This skill enforces strict traceability rules, explicitly flagging bias and separating team interpretation from verbatim customer language to ensure decisions are defensible.

Use cases

• Synthesizing churn interviews to identify the root cause of lost renewals versus reported price objections.
• Analyzing discovery calls to map onboarding friction points for a product redesign.
• Evaluating win/loss notes to refine sales messaging and objection handling.
• Identifying segment-specific patterns across messy, multi-source research spreadsheets.

Known limitations

Requires user-supplied text or files. Cannot access live CRM, analytics, or call-recording platforms directly.