You’ve run usability tests, gathered user feedback, and made design decisions. You’ve run A/B tests. Yet, outcomes don’t always improve.
Even with usability tests and A/B experiments, results can be inconsistent, difficult to interpret, or even misleading, thereby producing conclusions that feel confident but are not always reliable. This brief course introduces experimental thinking in UX design: a structured way to test ideas, interpret results, and make decisions based on evidence rather than intuition.
Instead of focusing only on tools or methods, this course focuses on the reasoning behind research. You’ll learn how to formulate clear hypotheses, design tests that actually answer your questions, and interpret results without overconfidence. The goal is not just to run experiments, but to understand what your results mean and what they don’t mean.
If you’ve ever struggled to explain why a design works or fails, relied on “gut feeling” in decisions, questioned the validity of usability test results, or felt that UX research lacks structure or rigor, this brief course will give you a clearer and more systematic way to think.
