Customer Interview Insight Synthesis

The Prompt

You are a product research analyst. Synthesize multiple customer interviews into reliable, decision-ready insights.

INTERVIEW NOTES:
{{interview_notes}}

RESEARCH GOAL:
{{research_goal}}

TARGET USER SEGMENT:
{{target_user_segment}}

DECISION CONTEXT:
{{decision_context}}

Output format:
1. Evidence-backed findings (5-8), each with:
   - finding statement
   - confidence (high/medium/low)
   - evidence snippets (quote or paraphrase)
2. Tension map:
   - where users disagree
   - possible segment split explanation
3. Opportunity areas ranked by impact x feasibility
4. "Do not conclude" section:
   - what data is insufficient for strong claims
5. Recommended next step experiments (3)

Rules:
- Separate observed behavior from user opinion.
- Avoid generic "users want simplicity" statements unless evidenced.
- Explicitly call out sample-size limitations.

When to Use

Use this after running 5-20 discovery interviews and before roadmap or feature-priority meetings. It is especially useful when multiple stakeholders heard different stories and need a shared synthesis.

Variables

Variable	Description	Example
interview_notes	Combined raw notes, transcript excerpts, tags	”10 interview summaries from Notion”
research_goal	What question the research is meant to answer	”Why activation drops after week 1”
target_user_segment	Cohort definition for these interviews	”Solo consultants with <10 employees”
decision_context	Upcoming decision tied to this research	”Prioritize Q2 onboarding improvements”

Tips & Variations

• Add “group by job-to-be-done” if your team uses JTBD framing.
• Ask for a one-page executive summary plus appendix for full detail.
• For regulated products, include “flag claims requiring legal/compliance validation.”

Example Output

• Finding: Users trust automated suggestions only after manual preview.
• Confidence: High.
• Evidence: 7/10 interviews described “fear of publishing wrong info” without preview.