Get instant AI recommendations to improve your design. Detect cognitive load, see where users focus, catch issues early, and compare variations - so you can confidently make and defend design decisions with data-backed insights.
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 side
All 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 🙌
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?
About Visual Usability Checker on Product Hunt
“Validate your design decisions instantly with AI insights”
Visual Usability Checker launched on Product Hunt on May 21st, 2026 and earned 120 upvotes and 4 comments, placing #8 on the daily leaderboard. Get instant AI recommendations to improve your design. Detect cognitive load, see where users focus, catch issues early, and compare variations - so you can confidently make and defend design decisions with data-backed insights.
Visual Usability Checker was featured in Design Tools (260.2k followers), User Experience (365.4k followers) and Artificial Intelligence (469k followers) on Product Hunt. Together, these topics include over 161.9k products, making this a competitive space to launch in.
Who hunted Visual Usability Checker?
Visual Usability Checker was hunted by Darius Jokubaitis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Visual Usability Checker has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how Visual Usability Checker stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Darius Jokubaitis
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 side
All 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 🙌