pmprompt/claude-plugin-product-management

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.

First seen Feb 15, 2026

Installation

$ npx skills add pmprompt/claude-plugin-product-management --skill user-feedback-synthesizer

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 49
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,116 B
  • docs SUMMARY.md 178 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 404 installs

SKILL.md

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