discova.ai is an AI-powered UX analytics engine that turns raw user data into actionable interface recommendations. It focuses on identifying issues in navigation, content structure, and visual hierarchy, then suggests practical ways to improve the experience.
UX insights built for product work
Instead of running long, manual research cycles, teams can upload data and receive structured UX findings that highlight where users get stuck and what makes key content hard to find.
Identify navigation breakdowns and confusing flows
Flag content structure problems that slow discovery
Detect visual hierarchy issues that reduce clarity
Get recommendations phrased in plain, usable terms (for example, improving hierarchy or adding filters)
From insight to design options
For each issue it detects, discova.ai generates multiple solution variations. Designers can review and compare approaches to move faster toward a final layout.
Who it’s for
discova.ai is designed for product managers, UX researchers, and designers who need to validate hypotheses and improve UX without heavyweight research processes. An early access queue is available for testing the engine on real interfaces and integrating AI-driven analysis into an existing UX workflow.
