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ComputerConnection
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customer-feedback

Aggregate customer feedback from emails, tickets, interviews, and social channels into a CUSTOMER-FEEDBACK.md report.

1|Updated Mar 24, 2026
Search Tags:#analysis#prioritization#product-management#nps#customer-feedback#churn
One-click install
npx skills add https://github.com/ComputerConnection/z-combinator --skill customer-feedback
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-feedback
Source: https://github.com/ComputerConnection/z-combinator/tree/main/skills/customer-feedback
Command: npx skills add https://github.com/ComputerConnection/z-combinator --skill customer-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates and analyzes early customer feedback from all sources to identify top feature requests, key complaints, churn drivers, and sentiment, enabling data-driven product decisions.

Core Features & Use Cases

  • Collects feedback from emails, support tickets, user interviews, social channels, and in-app surveys.
  • Prioritizes work using a structured scoring model (frequency, impact, effort), and separates must-haves from nice-to-haves.
  • Generates a standardized CUSTOMER-FEEDBACK.md report with top 5 features, top 5 complaints, churn analysis, and NPS estimates for leadership buy-in.

Quick Start

Aggregate all feedback sources and generate the top-priority action plan.

Frequently Asked Questions about customer-feedback

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

FAQPage Schema
How do I aggregate customer feedback from multiple sources to identify top priorities?▼

Customer feedback analysis works by aggregating inputs from emails, support tickets, interviews, and in-app surveys, then tagging and scoring them by frequency, impact, and effort to rank must-have features against nice-to-haves.

What's the best way to prioritize product features and identify churn drivers from user feedback?▼

The best way to prioritize features and identify churn drivers is applying a structured scoring model weighing frequency, impact, and effort to rank requests and isolate complaints from multi-source feedback data.

Can I estimate NPS and analyze churn drivers for an early-stage product team?▼

Yes, NPS estimation and churn analysis are supported by aggregating multi-source feedback to evaluate sentiment and isolate top complaints, specifically designed for early-stage product teams needing leadership buy-in.

Does customer feedback analysis work for early-stage products collecting emails and support tickets?▼

Yes, this customer feedback analysis specifically targets early-stage product teams by processing raw inputs from emails, support tickets, social channels, and in-app signals to rank must-have features and churn drivers.

How do I generate a standardized report for product management leadership buy-in?▼

You generate a standardized report by producing a CUSTOMER-FEEDBACK.md file containing the top 5 features, top 5 complaints, churn analysis, and NPS estimates to secure product management leadership buy-in.

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