product-analytics

Product analytics for a solo maker of software and games - events as a typed schema with naming conventions, what to measure first (activation, retention, core-action rate; for games session length, level funnel, D1 and D7 retention), identity and anonymous ids, privacy-preserving defaults, event pipeline from client to your own endpoint or a provider, sampling and cost, dashboards that answer questions instead of vanity counts, A/B experiment basics with sample-size reality for tiny audiences, analysis with SQL, data quality tests, and tying metrics to decisions logged in a decision file. Load when adding analytics, defining events or metrics, building a dashboard, running an experiment, or deciding what to build next from usage data.