user-research-synthesis

Synthesize user research data into themes, personas, and prioritized opportunities.

2.3k|357|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/MaxMiksa/Auto-Company --skill user-research-synthesis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: user-research-synthesis
Source: https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/user-research-synthesis
Command: npx skills add https://github.com/MaxMiksa/Auto-Company --skill user-research-synthesis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill tackles the challenge of making sense of large volumes of user research data, turning raw qualitative and quantitative information into clear, actionable insights that drive product decisions.

Core Features & Use Cases

  • Thematic Analysis: Systematically identify, code, and refine themes from qualitative data like interviews and open-ended survey responses.
  • Affinity Mapping: Group observations and insights collaboratively to reveal emergent patterns and themes.
  • Triangulation: Strengthen findings by integrating data from multiple sources and methods (qualitative and quantitative).
  • Persona Development: Build evidence-based personas grounded in behavioral patterns and research data.
  • Opportunity Sizing: Estimate the impact and feasibility of identified opportunities to aid prioritization.
  • Use Case: After conducting user interviews and analyzing survey results for a new feature, use this Skill to synthesize the findings into a set of prioritized user needs and potential feature enhancements, complete with supporting evidence and persona profiles.

Quick Start

Synthesize the provided interview notes and survey responses into key themes and actionable insights.

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 user research data into actionable insights?

To synthesize user research data into actionable insights, the Skill applies thematic analysis, affinity mapping, and triangulation to interview transcripts, survey responses, and behavioral data. This process identifies themes, builds personas, and prioritizes opportunities.

What is the best way to analyze qualitative and quantitative user research together?

The best way to analyze qualitative and quantitative user research together is through triangulation. This Skill strengthens findings by integrating data from multiple sources and methods, ensuring your product intelligence is evidence-based.

How do I build evidence-based personas from interview transcripts and survey responses?

You can build evidence-based personas from interview transcripts and survey responses by applying thematic analysis to identify behavioral patterns. The Skill systematically codes and refines themes to ground your persona profiles in actual research data.

Can I use this for opportunity sizing and prioritizing product features?

Yes, you can use this for opportunity sizing and prioritizing product features. The Skill estimates the impact and feasibility of identified opportunities derived from your synthesized research data to aid product prioritization.

Does user research synthesis work with support tickets and behavioral data?

User research synthesis works effectively with support tickets and behavioral data. The Skill processes these inputs alongside interview transcripts and survey responses to reveal emergent patterns through affinity mapping.

How to do affinity mapping with raw product insights and observations?

To do affinity mapping with raw product insights, the Skill groups your observations and insights collaboratively to reveal emergent patterns. This methodical approach transforms scattered data into structured, actionable product intelligence.