How to use User Research Synthesis in your AI agent

What you'll get

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.

Step 1 — Get the skill source URL

The User Research Synthesis skill lives at:

Step 2 — Add it to your AI agent

Copy one of these prompts and paste it into your AI tool. The agent will fetch and install the skill for you.

Add the agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis to my project.

Install this agent skill: https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis

Add this skill to .codex/skills/: https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis

Add the skill at https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis to my .gemini/skills/ directory.

Install this agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis

Add this skill: https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/user-research-synthesis

Step 3 — Try these prompts

Once the skill is installed, ask your AI things like:

• 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
• Present research findings to your team with evidence-backed recommendations
• Deciding what to build next and want to prioritize based on real user needs

What this skill 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