Cognify
User testing in minutes, not months
Idea in Artificial Intelligence
Introduction
Cognify streamlines user testing and UI/UX validation for Product and E-commerce teams, by using AI-driven synthetic population models to simulate interactions with UI/UX. Instead of relying on traditional data collected from user testing and interviews, we simulate user behaviour at scale, analyzing design elements, user flows, and historical engagement patterns to predict how different users would interact with your product. By simulating thousands of interactions instantly, Cognify provides real time insights into usability, conversion potential, and journey optimization - without requiring actual user participation or prolonged testing cycles.
Problem
User testing and UI/UX validation is slow, costly, and resource intensive, consuming 30-50% of a product manager’s time. For PMs, reducing time to market is a key priority, yet product validation and user testing remain one of the biggest bottlenecks - second only to development effort. Why? Because Product teams struggle to validate UI/UX decisions efficiently. Identifying which design elements or user journeys will drive success metrics is often subjective and time-intensive, leading to suboptimal choices and strained resources. Translating hypotheses into actionable design changes relies heavily on guesswork, further delaying timelines and increasing the risk of rework. Traditional user and A/B testing, which is typically employed to address these challenges, often exacerbates them.
Opportunity
Cognify empowers product teams to make smarter, faster decisions about user experience, freeing them to focus on building products users love. By leveraging AI, Cognify predicts how users interact with UI/UX, eliminating the need for traditional usability and A/B testing cycles that rely on slow and resource-intensive data collection.