Lean Analytics
Startup metrics and the One Metric That Matters
Choose and audit startup metrics using Alistair Croll and Benjamin Yoskovitz's Lean Analytics. This skill equips your AI agent with the discipline of the One Metric That Matters — separating actionable metrics from vanity numbers, matching metrics to your business model and stage, and drawing lines in the sand.
What your agent learns
Good vs Vanity Metrics
A good metric is comparative, understandable, a ratio or rate, and changes behavior. Cumulative up-and-to-the-right charts are the classic vanity tell.
One Metric That Matters
Track the single number that tells you whether the riskiest part of the business is working — paired with a counter-metric so it can't be gamed.
Metrics by Business Model
Six archetypes — e-commerce, SaaS, mobile app, media, UGC, marketplace — each with its own metric tree and definition of "working."
The Five Stages
Empathy, Stickiness, Virality, Revenue, Scale — each has a gate, and working on a later stage's metric too early is the canonical startup mistake.
Lines in the Sand
A metric without a target is trivia: set a number, a date, and a pre-committed response to missing it.
Try these with the skill installed
Pick the One Metric That Matters for our SaaS at our current stage using lean-analytics skill
Metrics strategyAudit our dashboard for vanity metrics and rewrite them as ratios using lean-analytics skill
Dashboard auditBuild the metric tree for our marketplace with liquidity measures using lean-analytics skill
InstrumentationSet a line in the sand for churn with a pre-committed miss response using lean-analytics skill
Target settingInstall Lean Analytics
Free, open-source, and ready in 30 seconds.
npx skills add wondelai/skills/lean-analytics MIT Licensed · Works with Claude Code, Cursor, Claude Cowork & OpenClaw · No account needed
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