Product Management · By Mohit Agarwal (PM Skills)

User Research Synthesis

Turn user interviews and feedback into clear themes, pain points, and product recommendations.

What it is

This skill analyzes user research data — interviews, surveys, usability tests — and organizes it into structured insights. It identifies patterns across participants, extracts supporting quotes, prioritizes pain points and feature requests, and delivers actionable recommendations. Perfect for PMs, UX researchers, and founders who need to make sense of customer feedback without manual spreadsheet work.

What it does

  • Identifies recurring themes across interview transcripts, surveys, and user feedback
  • Extracts and categorizes pain points by severity with supporting user quotes
  • Prioritizes feature requests into must-haves, high-value, and nice-to-haves based on frequency and underlying needs
  • Documents current user workflows and highlights where users struggle
  • Generates a structured synthesis report with recommendations ranked by impact and effort

Use it when

  • You've finished a round of user interviews and need to find patterns in the transcripts
  • You have survey results or feedback from multiple sources and need a clear summary
  • You need to present research findings to your team with evidence-backed recommendations
  • You're deciding what to build next and want to prioritize based on real user needs

Add this skill to your AI

Copy the source URL and ask your AI to add it. Most coding agents — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Windsurf — will fetch and install it for you.

Try this prompt:

Add this skill to my project: https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis
Made byMohit Agarwal (PM Skills)
CategoryProduct Management