Can AI prioritize hypotheses for testing?

Absolutely! AI is great at prioritizing hypotheses based on their potential impact and feasibility. It evaluates factors like how easy the change is to implement and how likely it is to improve conversion rates. By analyzing past test results and user behavior data, AI helps you decide which hypotheses to test first. For instance, if AI suggests two hypotheses but one is easier to implement and has a higher potential impact, it will prioritize that one. This makes sure you're testing the most valuable ideas first, saving time and effort.