A/B Testing & Experimentation

Data Marvin

The Practitioner's Guide to A/B Testing & Experimentation

Real-world deep dives into experiment design, sequential testing, and causal inference — written for analysts and PMs who ship real decisions.

Want to catch problems early without inflating your false-positive rate? Peeking is the classic trap — we show you how to check early safely, and how to bring that same statistical rigor to the broader business decisions experimentation alone can't answer.

Built for data scientists, analysts, and product people who need experiments they can trust — and defend.