# User Feedback Synthesizer

> Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.

- Skill: `pmprompt/user-feedback-synthesizer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add pmprompt/user-feedback-synthesizer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pmprompt/user-feedback-synthesizer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: pmprompt (https://skillmd.com/u/pmprompt)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/pmprompt/user-feedback-synthesizer

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## Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

## Input Requirements

- Context about your product, feature, or problem
- Relevant data, research, or constraints (recommended but optional)
- Clear articulation of what you're trying to achieve


# User Feedback Synthesizer

## When to Use
- After conducting user interviews or surveys
- When you have a backlog of support tickets to analyze
- To identify common pain points from feedback across multiple sources
- Before planning your product roadmap to understand user needs

## What This Skill Does
Analyzes user feedback data to extract insights, cluster themes, identify severity levels, and provide actionable recommendations that inform product decisions.

## Instructions
Act as a user research expert. Help me analyze this collection of user feedback by:

1. Clustering feedback into themes
2. Identifying severity levels for each theme
3. Suggesting potential solutions
4. Prioritizing issues by impact and frequency
5. Highlighting quick wins

Your feedback data:
[paste feedback here]

## Best Practices
- Include context about your product and target users
- Mix feedback from multiple sources (interviews, support tickets, surveys, reviews)
- Look for patterns across different user segments
- Note the frequency of each pain point
- Validate insights with follow-up questions to users

## Example
**Input:** 50 support tickets about onboarding + 20 user interview transcripts
**Output:** 3 main themes identified (unclear value proposition, confusing UI, missing integrations), prioritized by impact with specific solution recommendations and estimated effort


## Further Reading

- [Research Synthesis Guide](https://pmprompt.com/blog/research-synthesis-guide)