A/B-Test
An A/B test compares two versions of a product or feature to determine which performs better. Users are randomly assigned to one of the versions and their behavior or responses are measured.
A/B tests allow teams to make data-driven decisions. They are used to optimize websites, apps, features, or content, better understand user behavior, and evaluate the effectiveness of changes. This allows improvements to be derived and implemented in a measurable way.