analyze-feedback

Analyzes customer feedback from multiple sources into prioritized themes with quotes.

30|8|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/amplitude/mcp-marketplace --skill analyze-feedback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-feedback
Source: https://github.com/amplitude/mcp-marketplace/tree/main/plugins/amplitude-analysis/skills/analyze-feedback
Command: npx skills add https://github.com/amplitude/mcp-marketplace --skill analyze-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams convert scattered customer feedback into centralized, prioritized themes that drive roadmap decisions and communications.

Core Features & Use Cases

  • Feedback aggregation: Collect feedback from multiple channels (surveys, support, app reviews) into a single view.
  • Thematic extraction: Surface actionable themes such as feature requests, bugs, pain points, and praise.
  • Decision-ready outputs: Provide summaries, quotes, sentiment, and prioritized recommendations for stakeholders.
  • Use Case: A product manager reviews quarterly feedback to prioritize the top features for the next release.

Quick Start

Invoke the Analyze Feedback skill to start from connected sources and generate themes.

Frequently Asked Questions about analyze-feedback

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

FAQPage Schema
How do I analyze customer feedback to extract actionable product themes?

To analyze customer feedback into actionable themes, aggregate surveys, support tickets, and app reviews. The skill filters by type, date, and source to surface feature requests, bugs, and pain points, then outputs prioritized recommendations with representative quotes for product decisions.

What is the best way to prioritize feature requests from multiple feedback channels?

Prioritizing feature requests across multiple channels involves aggregating surveys, support tickets, and app reviews into a centralized view. The skill extracts thematic data like pain points and praises, providing decision-ready summaries with sentiment and prioritized actions for stakeholders.

Can I use Amplitude feedback APIs to filter customer feedback by date range and source?

Yes, you can filter customer feedback using Amplitude feedback APIs. The skill leverages these APIs to query specific feedback types, date ranges, and sources, aggregating the results to extract actionable themes and representative quotes for product roadmap decisions.

How do I turn voice-of-customer data from app reviews into decision-ready outputs?

Turning voice-of-customer data into decision-ready outputs requires aggregating app reviews and support tickets to identify themes. The skill processes this feedback to generate summaries, sentiment analysis, representative quotes, and prioritized recommendations for product teams.

Does this approach to feedback aggregation work for both bugs and user praises?

Yes, this feedback aggregation approach works for both bugs and praises. The skill processes connected sources to categorize feedback into actionable themes, capturing feature requests, pain points, and praises to provide a comprehensive view for product decisions.