What is A/B Testing?
A/B testing is a method used to compare two different versions of a design or feature to determine which one performs better. By creating two variations, referred to as version A and version B, and exposing them to different segments of users, designers can analyze which version yields better results based on specific performance metrics. This testing helps in making data-driven decisions, allowing teams to choose the more effective design based on real user behavior rather than assumptions. The insights gained from A/B testing can lead to enhanced user experiences and optimized design outcomes.