Data for product
summary
Shows how data shapes product decisions by walking through a real pipeline at BIM&CO: event collection with client-side tracking, Kafka streaming into a Postgres warehouse, and Metabase dashboards for stakeholders. Describes running A/B tests with feature flags, measuring activation and retention cohorts, and a case where a UI change lifts activation by about 18%. Explains instrumentation pitfalls, the SQL queries used for core metrics, and the rollout strategy that validated the change in production.
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