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A/B testing (or online controlled experiment) is an experimental method used to determine which design, content, or feature change yields better results by analyzing user behavior. Two different variants, typically labeled “control” (A) and “experiment” (B), are randomly assigned to user groups and their performance metrics are compared. A/B tests provide a scientific foundation for decision-making processes in many disciplines including software engineering, product management, digital marketin