What problem does it solve? Operations teams often drown in metrics without knowing which one matters right now, what stage their business is in, or how to design experiments that actually move a number. This Skill distills the Lean Analytics methodology into an executable decision framework for metric selection and data-driven judgment. ## Core Features & Use Cases - OMTM Selection: Uses a three-question positioning method (business model, stage, audience) plus a good-metric checklist to produce a one-sentence One Metric That Matters with current value, target line, and owner. - Lean Analytics Cycle: Turns a chosen metric into a hypothesis (WHO/WHAT/WHY format), a sub-two-week experiment, and a three-way verdict (passed / no movement / partial) with next-round recommendations. - Five-Stage Gating: Diagnoses whether the business is in Empathy, Stickiness, Virality, Revenue, or Scale stage and what must be proven before advancing, preventing premature growth spending. - Use Case: A SaaS team debating whether to invest in acquisition can use this Skill to discover they are still in the Stickiness stage, that monthly churn above 5% is the real problem, and receive a concrete retention experiment plan instead. ## Quick Start Ask the AI to apply the lean analytics perspective to your pasted business situation, metrics, or growth plan to identify the one metric that matters now.
