feedback-synthesis

Synthesize customer feedback into themes with representative quotes and recommendations.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/hpsgd/claude-marketplace --skill feedback-synthesis-hpsgd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-synthesis
Source: https://github.com/hpsgd/claude-marketplace/tree/main/plugins/product/support/skills/feedback-synthesis
Command: npx skills add https://github.com/hpsgd/claude-marketplace --skill feedback-synthesis-hpsgd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps teams transform scattered customer feedback from support tickets, surveys, and reviews into clear, actionable themes, enabling faster decision-making and better product insights.

Core Features & Use Cases

  • Ingests feedback from multiple sources and preserves quotes for context.
  • Groups items into user-language themes with 2+ data points per theme.
  • Produces quantitative summaries (counts, percentages, sentiment) and recommended actions.

Quick Start

Ingest the provided feedback data and generate clearly defined themes with representative quotes and prioritized recommendations.

Frequently Asked Questions about feedback-synthesis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synthesize customer feedback into actionable themes?

To synthesize customer feedback into actionable themes, ingest support tickets, surveys, and reviews to categorize data into user-language themes with 2+ data points, preserving representative quotes for context.

Can I analyze support tickets and survey reviews together for sentiment?

Yes, you can analyze support tickets and survey reviews together to generate quantitative summaries including counts, percentages, and sentiment, grouping items into clearly defined themes across products and time ranges.

What is the best way to categorize product feedback from multiple sources?

The best way to categorize product feedback is ingesting multiple sources, grouping items into user-language themes with quantitative summaries, and producing impact-based recommendations to enable faster product decisions.

How many data points are needed to build a reliable feedback theme?

Building a reliable feedback theme requires 2+ data points per theme, ensuring grouped items have sufficient context while preserving representative quotes and providing impact-based recommendations.

Does feedback synthesis work with scattered reviews across different time ranges?

Feedback synthesis works with scattered reviews across different time ranges by ingesting feedback from multiple sources, categorizing items into themes, and generating quantitative summaries with recommended actions.