
AI has accelerated design execution, but speed can come at the expense of intentionality. Learn how UX teams can preserve product thinking and judgment.

UX testing is not limited to layouts, copy, and visual design. Full-stack and server-side experiments help teams evaluate how backend logic, APIs, algorithms, and product flows affect the overall user experience.

In A/B, A/B/n, or multivariate testing scenarios, using p-value with traditional null-hypothesis-based statistical analysis is so common, and most designers […]

Traditional A/B testing splits traffic evenly, but multi-armed bandits dynamically send more users to the better-performing version. Here’s how the method works, where it helps, and when UX teams should use it over classic A/B testing.