Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

What's Inside

• Revenue Metrics — MRR, ARR, MoM and YoY growth with benchmarks by stage
• Unit Economics — CAC, LTV, LTV:CAC ratio, CAC payback period
• Cash Efficiency — burn rate, runway, burn multiple with benchmarks
• SaaS Metrics — net new MRR composition, NDR, gross retention, magic number, Rule of 40, quick ratio
• Marketplace Metrics — GMV, take rate, liquidity, repeat rate
• Consumer/Mobile Metrics — DAU/MAU ratio, K-factor, Day 30 retention
• B2B Sales Metrics — win rate, pipeline coverage, ACV, sales cycle
• Metrics by Stage — pre-seed, seed, Series A focus areas
• What Investors Want to See — key metrics by funding round
• Common Mistakes — vanity metrics, too many metrics, ignoring segmentation

When to Use

• Setting up startup analytics and dashboards
• Calculating CAC, LTV, or unit economics
• Preparing investor updates or pitch materials
• Evaluating business health and efficiency
• Understanding what metrics matter at each stage

Installation

npx add https://github.com/wpank/ai/tree/main/skills/product/startup-metrics

OpenClaw / Moltbot / Clawbot

npx clawhub@latest install startup-metrics

Manual Installation

Cursor (per-project)

From your project root:

mkdir -p .cursor/skills
cp -r ~/.ai-skills/skills/product/startup-metrics .cursor/skills/startup-metrics

Cursor (global)

mkdir -p ~/.cursor/skills
cp -r ~/.ai-skills/skills/product/startup-metrics ~/.cursor/skills/startup-metrics

Claude Code (per-project)

From your project root:

mkdir -p .claude/skills
cp -r ~/.ai-skills/skills/product/startup-metrics .claude/skills/startup-metrics

Claude Code (global)

mkdir -p ~/.claude/skills
cp -r ~/.ai-skills/skills/product/startup-metrics ~/.claude/skills/startup-metrics

Part of the Product skill category.