Generate user behavior insights

Gathering nuanced insights into user behavior can be a complex and time-consuming task. While traditional methods like moderated user testing sessions offer rich data, they often demand significant resources. Unmoderated tests, alternatively, might lack the qualitative depth you desire. AI tools like Maze can potentially address these issues. This platform analyzes users' initial responses to open-ended questions and automatically generates up to 3 targeted follow-up questions, almost like you'd do in a real-time moderated session.

Once the test is done, Maze summarizes the overall feelings of users about your design. For example, if there's a recurring issue like confusing navigation, Maze flags it, helping UX researchers more easily identify areas that need refinement. This refines the UX research process and makes it easier to fine-tune designs.

However, AI-generated insights should be verified manually, as they might not capture the emotional nuances that a human researcher can.