An experimentation method where two (or more) variants of a product are shown to different users and the better-performing one wins. Invaluable for optimizing existing products, but Tony Fadell is pointed about its limits: A/B tests can tune a local maximum but can't tell you what to build, because users can't click on something that doesn't exist yet.