Gaze Prediction: Understand How Users See Your Product

Introduction

In an increasingly competitive digital landscape, capturing attention is the new currency. Whether you are launching a new landing page, refining a product dashboard, or testing ad variations, one key question remains constant: What will users actually notice first?

This is where Gaze Prediction steps in — a predictive visual analytics capability designed to simulate how real users visually process a screen before they interact with it.

Unlike traditional usability testing, which happens after design and development, gaze prediction allows teams to anticipate attention patterns early. This empowers product and growth teams to validate layouts, messaging hierarchy, and focal points before production costs rise.

How Gaze Prediction Works

The system analyzes any webpage or Figma design by combining:

• Spectral Residual Saliency Detection to identify visually dominant areas

• Face Detection and Prioritization to understand natural human attention biases

• Eye Movement Simulation modeled on real cognitive scanning patterns like:

  • F-pattern, Z-pattern reading behavior

  • Center bias effect

  • Golden ratio viewing balance

This produces:

• Visual Hotspot Detection — which areas visually demand the most attention

• Predicted Eye Movement Paths — how users are likely to scan the screen

• Attention Heat maps — layered visualizations showing visual focus intensity

  
  

Figma and Live Website Support

For Figma designs, the companion plugin extracts:

• Layer types and visibility

• Text content, font characteristics, and hierarchy

• Layout styles and grouping structures

This allows the system to score visual and structural importance together — producing insight that reflects the intended user experience, not just raw image pixels.

For live webpages, it layers DOM awareness to include:

• HTML element type importance

• Headings, CTAs, navigation elements

• Interactive and media components

  
  

Why This Matters for Product & Growth Teams

This feature helps answer mission-critical questions:

By surfacing attention issues before launch, teams reduce iteration cycles, cut wasted development effort, and ship experiences that feel intuitive and focused.

Practical Use Cases

• Product onboarding flow refinement

• Landing page conversion lift initiatives

• Feature announcement banners

• Pricing and comparison pages

• Campaign asset alignment across marketing and product touch points

  
  

Conclusion

Gaze Prediction transforms subjective design review into evidence-based decision-making. It empowers cross-functional teams to align on what matters most: ensuring users see what drives action.