What is A/B testing?

A/B testing is a method of comparing two versions of a product or feature (A and B) to determine which one performs better based on specified metrics.

Example: you have two versions of a button on a website — red (A) and blue (B). You randomly show the red button to half of the users and the blue button to the other half, and measure which button leads to more clicks.

This helps make data-driven decisions rather than relying on intuition, and minimizes risks when implementing changes.