A/B-Tests

A/B-Tests is a method used in product design and innovation to compare two versions of a product or feature to determine which one performs better in terms of user engagement or conversion rates. By randomly assigning users to either version A or version B, researchers can gather data on user behavior and preferences, allowing for informed decision-making. This iterative approach helps optimize product performance and enhances the overall user experience based on empirical evidence.