A/B Testing

A/B Testing is a method of comparing two versions of a software feature, webpage, or application to determine which performs better based on predefined metrics like user interactions, conversion rates, or engagement. This technique is often used to optimize the user experience and make data-driven decisions.

Example: A software company wants to increase the number of users who sign up for their service. They create two versions of the signup page: Version A has a blue "Sign Up Now" button, while Version B has a green one. They then randomly show each version to different users and track the click-through rate for each button. The results will determine whether the blue or green button leads to more sign-ups, helping the company choose the most effective design.