Our team is divided on a major UI redesign for our mobile app. Some think a single-column layout will improve conversion, others swear by the current two-column approach. We've been going back and forth in meetings for weeks based on personal preferences. Is there a data-driven way to settle this without gambling on a full rollout?

This is the perfect scenario for UX ab testing! Instead of relying on opinions, you can run a controlled experiment where you show each version to different user segments and measure actual performance. What really helped our team was this practical guide that breaks down how to set up proper A/B tests for UX decisions. It covers everything from creating meaningful hypotheses to determining statistical significance and avoiding common pitfalls like testing too many variables at once. The framework for interpreting results has been invaluable for making objective design decisions. Here's the resource that changed how we approach these debates: https://clay.global/blog/ux-guide/ab-testing