How does Fibr.ai's AI refine hypothesis generation?

Fibr AI refines hypothesis generation by using a team of AI agents to analyze user behavior and experiment results. Its AI CRO agents, like Liv, Max, and Aya, constantly review past data to understand what works and what doesn’t. For example, Liv personalizes content based on user behavior, Max helps run experiments, and Aya monitors site performance. And as they process more data, they refine their suggestions, making the hypotheses more relevant and impactful. Over time, as the AI learns from each test’s outcome, it gets better at generating hypotheses that are specifically tailored to improve conversion rates, saving you time and resources.