Lean Analytics

Reach for this when you're staring at a dashboard of numbers that all look important but none actually change what you ship next. It implements Croll and Yoskovitz's framework for separating vanity metrics from actionable ones, then forcing you to pick the One Metric That Matters for your business model and stage. The scoring system is honest: it will tell you when your dashboard is full of cumulative totals that only go up and make you feel good. Covers the six core business models with their natural metric trees, cohort mechanics, and the line in the sand discipline. Most useful during quarterly planning or when a team can't agree what success looks like, because that argument is where the value lives.

skills.sh installs: 3.3K
GitHub stars: 2.7K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add wondelai/skills --skill lean-analytics --agent claude-code

Installs into .claude/skills of the current project.

Files

Lean Analytics

A data discipline for startups distilled from Alistair Croll and Benjamin Yoskovitz's Lean Analytics: separate metrics that change decisions from numbers that merely flatter, then point the whole company at the One Metric That Matters for your business model and stage. Use it to choose metrics, audit dashboards, set targets, and plan instrumentation.

Core Principle

Focus on the one metric that matters right now — everything else is noise that feels like progress. Startups die from lack of focus more often than lack of data. The discipline is knowing your business model, knowing your stage, and tracking the single number that tells you whether the riskiest part of the business is working. A metric earns attention only if it changes what you do next.

Scoring

Goal: 10/10. Rate metric choices, dashboards, and instrumentation plans 0-10 against these principles. Report the current score and the specific changes needed to reach 10/10.

SKILL.md on GitHub