feedback-synthesizer

Synthesize cross-channel user feedback into a ranked product backlog with themes and actions.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill feedback-synthesizer-coreymaypray
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-synthesizer
Source: https://github.com/coreymaypray/sloth-skill-tree/tree/main/plugins/maycrest-automate/skills/feedback-synthesizer
Command: npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill feedback-synthesizer-coreymaypray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts raw qualitative feedback from multiple channels into a ranked, actionable product backlog by distilling signals from reviews, tickets, and interviews into prioritized insights.

Core Features & Use Cases

  • Thematic analysis: cluster feedback into themes with frequency counts and sentiment.
  • Prioritization scoring: map themes to impact and churn risk to rank what to fix first.
  • Cross-channel synthesis: align feedback from App Store reviews, support data, and user interviews to a unified view.
  • Use Case: A PM surfaces the top 3 user pain points from last quarter's feedback and generates a 2-week sprint focus.

Quick Start

Identify the top three prioritized feedback themes from the latest dataset and propose corresponding actions.

Frequently Asked Questions about feedback-synthesizer

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

FAQPage Schema
How do I aggregate cross-channel user feedback into a prioritized product backlog?

Cross-channel feedback aggregation combines App Store reviews, support tickets, and user interviews into a unified view. The skill distills these raw signals into a ranked, actionable product backlog by applying thematic analysis and risk-based prioritization.

What is the best way to prioritize product feedback from support tickets and app store reviews?

Prioritizing product feedback requires mapping clustered themes to user impact and churn risk. This approach ranks what to fix first, delivering a prioritized roadmap with supporting verbatims and recommended actions for product teams.

Can I use sentiment analysis and NPS data to drive product prioritization?

Sentiment analysis and NPS data can drive product prioritization by scoring user pain points. The skill applies thematic analysis with sentiment scoring to convert qualitative feedback into a ranked theme list for sprint planning.

How do I turn raw qualitative user feedback into actionable product insights?

Turning qualitative feedback into actionable insights involves clustering data into themes with frequency counts. The skill synthesizes raw user interviews and beta feedback into a ranked backlog, proposing corresponding actions for top pain points.

Does cross-channel feedback synthesis work for both client surveys and beta testing feedback?

Cross-channel feedback synthesis works for client surveys and beta testing feedback. It aligns multiple feedback streams into a unified view, applying risk-based prioritization to generate a ranked theme list with recommended actions.

What are the limitations of automated thematic analysis for product feedback?

Automated thematic analysis limitations include the need for raw qualitative input to cluster effectively. While it generates frequency counts and sentiment scores, the output requires human validation to ensure recommended actions align with sprint goals.