feedback-capture

Capture product feedback with metadata, sentiment, and theme classification.

4|3|Updated Jan 22, 2026

Search Tags:#feedback #user research #product development #sentiment analysis #customer insights #feature request

Ready to run

npx skills add https://github.com/yohayetsion/product-org-os --skill feedback-capture

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feedback-capture
Source: https://github.com/yohayetsion/product-org-os/tree/main/product-org-plugin/skills/feedback-capture
Command: npx skills add https://github.com/yohayetsion/product-org-os --skill feedback-capture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that valuable customer and market feedback is systematically captured, analyzed, and integrated into the product development lifecycle, preventing insights from being lost.

Core Features & Use Cases

Structured Feedback Logging: Captures feedback with comprehensive metadata (source, date, product, feature, etc.).
Sentiment and Impact Analysis: Assesses the emotional tone and business impact of the feedback.
Connection to Context: Links feedback to existing decisions, bets, and assumptions for a holistic view.
Use Case: A sales representative captures a customer's feature request during a call. This Skill logs the request with all relevant details, analyzes its sentiment and potential impact, and links it to the relevant product strategy, ensuring it's considered for the roadmap.

Quick Start

Log this customer feedback about the new dashboard loading speed.

Frequently Asked Questions about feedback-capture

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

FAQPage Schema

How do I capture and analyze customer feedback from support tickets and sales notes?▼

To capture customer feedback, this Skill systematically logs support tickets and sales notes with comprehensive metadata, analyzes sentiment and business impact, and links insights to existing product strategy decisions.

What is the best way to document feature requests during user research?▼

Documenting feature requests during user research involves logging the request with full metadata, assessing its emotional tone and potential business impact, and connecting it to organizational assumptions for continuous learning.

Can I link product feedback directly to strategic bets and product decisions?▼

Yes, analyzing product feedback includes connecting the captured insights directly to existing strategic bets, assumptions, and organizational decisions to provide a holistic view of the product development lifecycle.

How does sentiment analysis work for customer insights captured from multiple sources?▼

Sentiment analysis for customer insights evaluates the emotional tone of feedback captured from sources like customer conversations and support tickets, assessing its potential business impact alongside theme classification.

Does this feedback capture process require any specific external dependencies or platforms?▼

No, this feedback capture process operates independently without external dependencies, structuring raw feedback data into organized metadata, sentiment scores, and thematic classifications.

When should I use a structured feedback logging system instead of manual notes?▼

Use a structured feedback logging system when processing high volumes of customer conversations or support tickets to prevent valuable market insights from being lost and to ensure integration into the product roadmap.