A/b testing: (also known as bucket testing

A/B testing (also known as bucket testing , split-run testing or split testing ) is a user-experience research method. [1] A/B tests consist of a randomized experiment that usually involves two variants (A and B), [2][3][4] although the concept can be also extended to multiple variants of the same variable. A/B testing (sometimes also referred to as split testing ) is a popular UX research method, with widespread adoption across businesses and industries. To ensure reliable, meaningful, and beneficial results for your organization, follow best practices and avoid common mistakes when planning and setting up an A/B test . A/B testing is a method of comparing two versions of a webpage or app against each other to determine which one performs better. Learn all about it here! Master A/B testing with our comprehensive guide. Learn implementation strategies, statistical analysis, common pitfalls, and integration with QA workflows. Expert insights included.