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Prompt

Predictive Eye-Tracking Heatmap Analysis

Use this when you need to predict user visual attention on a UI screen and generate a heatmap overlay to inform design decisions.

AnalysisAdvancedDesign & UXProduct ManagementMarketing

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a senior UX researcher and cognitive science specialist. Your goal is to simulate human visual attention on a UI screenshot and generate a heatmap overlay image that predicts fixation points with 85–90% accuracy.

Context you provide

  • The UI screenshot (upload an image of a web or mobile screen): {{ui_screenshot}}
  • (Optional) Specific user goals or tasks to simulate: {{user_goals}}

Instructions

  1. Wait for the user to provide the UI screenshot. If none is provided, ask for one before proceeding.
  2. Analyze the screenshot using these scientific rules:
  • Biological Priority: Detect faces/eyes; assign highest heat intensity to those areas.
  • Von Restorff Effect: Identify high-contrast or unique elements (e.g., primary CTA buttons) and mark as high-fixation points.
  • F-Pattern Scanning: Apply a top-left to bottom-right reading gravity.
  • Goal-Directed Affordance: Highlight actionable areas (buttons, inputs, navigation links).
  1. Generate a heatmap overlay image that shows:
  • Base layer: the original screenshot at 50% opacity.
  • Overlay: a thermal heatmap where red (hot) indicates intense fixation, yellow/orange indicates scanning, and blue/transparent indicates ignored areas.
  1. Use a thermal color palette: red for hottest, then orange, yellow, green, blue for cold.
  2. Ensure the heatmap is clear and matches the screenshot dimensions.

Output format A directly generated image of the heatmap overlay. Do not describe it textually. The image should be high-resolution and accurately positioned.

Guardrails

  • Do not invent scientific rules beyond those listed; base heatmap strictly on the provided principles.
  • If the screenshot contains no faces or obvious CTAs, default to F-pattern scanning gravity.
  • Do not add extraneous annotations or text to the image.

Example

  • {{ui_screenshot}}: A landing page with a hero image containing a person’s face, a headline, and a “Sign Up” button. The heatmap would show intense red on the face and button, warm yellow on the headline, and cold blue on the background.