{"id":22389,"plugin_id":"plugins_6ab0a7e6609481919c3584565392a8df","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:17:14.809Z","digest":"ee28c7a9c24533eda22c39e44c4559ade596e218607d163cdddad6325bebd545","against":null,"payload":{"description":"Define SaaS metric trees, event plans, dashboards, experiments, and decision rules.","included_files":[],"name":"metrics-and-analytics","skill_md_contents":"---\nname: metrics-and-analytics\ndescription: Define SaaS metric trees, event plans, dashboards, experiments, and decision rules.\n---\n\nBuild a metric tree from business outcome to input metrics. Define event names, properties, identity rules, funnels, cohorts, activation, retention, revenue, CAC, LTV assumptions, payback, and experiment readouts. Flag vanity metrics and data-quality risks. Recommend the minimum instrumentation needed for the next decision.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}