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Productfculty-aipm
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feedback-triage

Cluster user feedback into ranked themes with prioritized recommendations.

70|34|Updated Apr 7, 2026
Search Tags:#feedback#analysis#prioritization#triage#nps#support-tickets
One-click install
npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill feedback-triage-productfculty-aipm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feedback-triage
Source: https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/feedback-triage
Command: npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill feedback-triage-productfculty-aipm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill triages a batch of user feedback — support tickets, NPS comments, reviews, or interview notes — into a ranked, actionable report that highlights pain points, themes, and alignment with the roadmap.

Core Features & Use Cases

  • Load context from memory and product roadmap to inform clustering and scoring.
  • Cluster feedback into recurring themes and rank them by frequency, severity, and strategic fit.
  • Output top opportunities with suggested experiments and guardrails for next steps.
  • Use case examples: turn a collection of 100 support tickets into a prioritized list of issues and recommended actions, or synthesize interview notes into key user struggles.

Quick Start

Feed me a batch of feedback items and I will produce a ranked, actionable report with top themes and recommended actions.

Frequently Asked Questions about feedback-triage

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

FAQPage Schema
How do I prioritize user feedback from support tickets and NPS responses?▼

You can batch process support tickets, NPS comments, and interview notes to prioritize user feedback. The system clusters similar issues into recurring themes and scores them by frequency, severity, and strategic fit to generate a ranked, actionable report.

Can I analyze feedback files in CSV or JSON formats?▼

Yes, you can analyze feedback files in CSV, TSV, JSON, plain text, or mixed formats. The tool processes these inputs to identify pain points, cluster issues, and produce prioritized recommendations aligned with your roadmap.

What is the best way to align customer pain points with current OKRs?▼

The best way to align customer pain points with OKRs is to load product context and roadmap memory during feedback triage. This ensures the ranked themes and recommended experiments directly support your strategic objectives.

How do I turn a batch of 100 support tickets into a prioritized product action list?▼

To turn 100 support tickets into a prioritized product action list, feed the batch into the triage tool. It will cluster similar issues, score them by severity and frequency, and output top opportunities with suggested experiments and guardrails.

Does feedback analysis handle small edge cases in interview notes?▼

Yes, feedback analysis handles small edge cases in interview notes with clear guardrails. It processes mixed inputs and uses loaded product context to ensure edge cases are managed without disrupting the ranked actionable report.

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