Free A/B testing course

What it does

We've helped 3,000+ teams run experiments. The same mistakes show up everywhere: no hypothesis, tests killed too early, vanity metrics dressed up as wins. So we built the course we needed two years ago. 6 modules covering what to test, how to read statistical significance, and how to build a system your team repeats every month not just once. Tool-agnostic. Completely free. Based on real experiments, not textbook theory.

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