What is A/B Testing?
A controlled experiment where two versions of something (a webpage, feature, message, or product) are shown to different user segments simultaneously. The version that performs better on a defined metric wins.
My perspective
In practice
The foundation of data-informed decision making. Instead of debating which design is better, let real users decide. Works best with clear hypotheses, sufficient traffic, and statistically significant results, not gut feel.