Extends the idea of hypothesis driven development by evaluating two or more different implementations to find out which one works best. Usually this is done by having different implementations and then route a part of our users to each of them. This allows to measure which implementation better supports the expected user behavior. A/B Testing is often combined with Feature Flags and Application Telemetry.
