user-research-synthesis

Synthesize qualitative and quantitative user research into structured insights and prioritized opportunities.

2|1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/GACLove/feishu-aily-skills --skill user-research-synthesis-gaclove
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: user-research-synthesis
Source: https://github.com/GACLove/feishu-aily-skills/tree/main/skills/user-research-synthesis
Command: npx skills add https://github.com/GACLove/feishu-aily-skills --skill user-research-synthesis-gaclove

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts scattered qualitative and quantitative research artifacts into clear, evidence-backed findings and prioritized opportunity areas so product teams can make confident decisions faster.

Core Features & Use Cases

  • Thematic analysis: Systematic coding of interview notes, survey responses, and support tickets to surface recurring themes and contradictions.
  • Affinity mapping & persona building: Cluster observations into meaningful groups and derive evidence-based personas that guide design and prioritization.
  • Qual-Quant integration & opportunity sizing: Triangulate across methods, estimate addressable users, frequency, severity, and confidence, and produce ranked opportunities with assumptions and supporting evidence.
  • Use Case: Turn a set of 20 interviews, 300 open-ended survey responses, and product analytics into a one-page synthesis of top themes, 3 personas, and a ranked list of product opportunities with estimated impact ranges.

Quick Start

Synthesize these interview notes, survey responses, and analytics into a prioritized list of themes, evidence-backed personas, and opportunity scores with clear assumptions and recommended next steps.

Frequently Asked Questions about user-research-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize interview transcripts and survey responses into product insights?

Synthesize interview transcripts and survey responses by systematically coding the data, performing thematic analysis to surface recurring themes, and triangulating across sources to produce evidence-backed findings and prioritized product opportunities.

What is affinity mapping and how does it help with persona development?

Affinity mapping clusters qualitative observations into meaningful groups to derive evidence-based personas. This process guides design and prioritization by organizing scattered research notes into structured user profiles representing distinct behavioral patterns.

How do I estimate opportunity sizing from qualitative user research?

Estimate opportunity sizing from user research by calculating addressable users, frequency, and severity of identified themes. Triangulate qualitative data with quantitative analytics to produce ranked opportunities with confidence scores and clear supporting assumptions.

Can I combine behavioral analytics with support tickets for thematic analysis?

Combine behavioral analytics with support tickets by applying triangulation across both qualitative and quantitative sources. This integration validates recurring themes, surfaces contradictions, and strengthens the evidence base for prioritized product opportunity areas.

What is the best way to turn 20 interviews and 300 survey responses into prioritized themes?

Turn interviews and survey responses into prioritized themes by applying systematic coding, affinity mapping, and qual-quant integration. This yields a one-page synthesis of top themes, evidence-backed personas, and ranked opportunities with estimated impact ranges.