metrics-review

Compare post-launch AARRR metrics against Lean Canvas predictions in a METRICS-REPORT.md.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/ComputerConnection/z-combinator --skill metrics-review-computerconnection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-review
Source: https://github.com/ComputerConnection/z-combinator/tree/main/skills/metrics-review
Command: npx skills add https://github.com/ComputerConnection/z-combinator --skill metrics-review-computerconnection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

After launch, teams often lack a clear, honest view of how actual results stack up against predictions. This Skill collects and analyzes post-launch AARRR metrics to prevent spin and guide decisive product decisions.

Core Features & Use Cases

  • Phase-guided measurement across Acquisition, Activation, Retention, Revenue, and Referral to diagnose where things break.
  • Generates a METRICS-REPORT.md that documents actuals vs Lean Canvas predictions and prescribes concrete next steps.
  • Supports collaboration by providing a single source of truth for founders, advisors, and teammates.

Quick Start

Gather launch data sources, run Phase 0 through Phase 4 steps, and generate the METRICS-REPORT.md.

Frequently Asked Questions about metrics-review

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

FAQPage Schema
How do I compare actual post-launch metrics against my Lean Canvas predictions?

To compare actuals against Lean Canvas predictions, you collect post-launch AARRR metrics and generate a METRICS-REPORT.md document. This report diagnoses acquisition, activation, retention, revenue, and referrals to outline actuals versus predictions with a clear fix plan.

What is the best way to diagnose early-stage startup growth using AARRR metrics?

Diagnosing early-stage startup growth using AARRR metrics involves phase-guided measurement across acquisition, activation, retention, revenue, and referral. This process identifies where your funnel breaks down and produces an actionable metrics report for decisive product decisions.

How do I generate an actionable metrics report for my early-stage product?

To generate an actionable metrics report for an early-stage product, you run structured data capture of user metrics alongside a Lean Canvas reference. The output is a METRICS-REPORT.md file that prescribes concrete next steps by mapping actual results to your initial predictions.

Can I use this metrics review process for any early-stage product after launch?

Yes, this metrics review process is explicitly applied to early-stage products and startups after launch. It requires structured data capture of user metrics and a Lean Canvas reference to diagnose your funnel phases and produce a single source of truth for your team.

Do I need a Lean Canvas reference to analyze my post-launch AARRR metrics?

Yes, a Lean Canvas reference is required to analyze post-launch AARRR metrics. It provides the baseline predictions needed to prevent misinterpretation of results, allowing the generated METRICS-REPORT.md to accurately compare actuals versus expectations and outline a fix plan.

Why does my team misinterpret post-launch product growth metrics?

Teams misinterpret post-launch product growth metrics when they lack an honest view of actual results compared to predictions. By mapping AARRR metrics against Lean Canvas predictions, you prevent spin and guide decisive product decisions using a single source of truth.