mcpField
U
user-feedback-synthesizer

user-feedback-synthesizer

github.com/pmpromptData & databases55433 installsUpdated 6d ago
Repository

About user-feedback-synthesizer

A product-management skill for synthesizing user feedback. It groups themes, assesses severity and priority, and suggests solutions and quick wins for product teams.

Key features

  1. 01Cluster feedback into themes
  2. 02Assess theme severity
  3. 03Recommend potential solutions
  4. 04Prioritize by impact and frequency
  5. 05Highlight quick wins

Use cases

  1. 01Analyze interview and survey responses
  2. 02Review a backlog of support tickets
  3. 03Find recurring pain points across sources
  4. 04Inform product roadmap planning

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill user-feedback-synthesizer

After installing, type/user-feedback-synthesizerin Claude Code to confirm it loaded.

Details

From the project README

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

Comments

Markdown supported