Visual Usability Checker

Playground file : https://www.figma.com/community/file/1575839690110028010/visual-usability-checker-playground-file

How does this work technically? Do you analyze frames/images, identify which elements are shown in them, and then pull statistics from a database? For example, we all know that in advertising people look at faces - if you determine that the image contains a human face, a dog, and a tree, then it’s easy to understand that a person will look at the face first, then the dog, and then the tree. How did you implement this?

Hi, Product Hunt! 👋 I’m Darius, the co-founder of Attention Insight.We built a new Figma plugin specifically for UX and product designers.We spoke with hundreds of UX designers and product teams and found a clear need for a data-driven way to validate design decisions.Because today, design decisions still look like this:🤔 “Make the CTA bigger.”🤷 “This layout feels better.”🔁 “Let’s try one more version…”And suddenly you’re moving elements around instead of actually knowing what works.We wanted a way to validate design decisions earlier, before user testing, before development, and without leaving Figma.So we built Visual Usability Checker — an AI-powered Figma plugin trained on millions of eye-tracking data points to help you validate design decisions earlier with instant recommendations, cognitive load insights, and predicted attention.With it, you can:➡️ Get AI recommendations on how to improve your design instantly➡️ Detect high cognitive load areas that may confuse users➡️ See where users are likely to look in the first seconds➡️ Spot weak visual hierarchy and usability issues early➡️ Compare multiple design variations side by sideAll without leaving your workflow.Instead of guessing, you get clear, data-driven feedback you can act on immediately.How it works:Run the plugin → Log in or Sign up → Choose your testing workflow → Select a Figma frame → Get attention maps, scores, and insights in seconds.You can iterate immediately and see how changes affect user attention.Our goal is not to replace user research.It’s to help designers catch problems earlier, reduce guesswork, and make decisions with more confidence.We’re especially curious:- What part of design validation still feels too subjective in your workflow?- Where do you spend the most time debating instead of deciding?- Who wants to get a discount?Would love your feedback 🙌