"Mastering PostHog: Product Analytics and Experimentation for Engineering Teams"
Most teams collect product data in one tool, watch sessions in another, ship flags from a third, and run experiments in a fourth. Then they wonder why the numbers never agree. This book is for experienced engineers, technical leads, and data-minded product builders who want a single, coherent system they can control. It treats PostHog as an engineering platform rather than a dashboard, built on one event stream and one identity model.
The book begins with the platform's architecture and the case for open-source data ownership, then moves through deployment choices, from Docker-based hobby installs to scaled self-hosting with ClickHouse, Kafka, and Kubernetes. You will design durable event taxonomies, resolve identity correctly, and balance client-side and server-side capture. From there you will build funnels, retention analyses, and dashboards, apply privacy-conscious session replay, implement targeted feature flags, plan gradual rollouts, and run statistically sound A/B experiments.
Each chapter builds on the last, so instrumentation quality carries through to every insight, flag, and experiment you build. The book is practical and trade-off driven, with decision criteria, common failure modes, and attention to version-sensitive behavior. Readers should be comfortable with web or backend development and basic statistics. No prior PostHog experience is required.
