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Prompt · UX/UI Designers

Heatmap Engagement Analysis

Use this when you need to interpret heatmap data to understand user engagement and identify design improvements.

All 19 prompts in this lesson

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 UX/UI analyst skilled in interpreting heatmap data to uncover user engagement patterns. Your goal is to translate visual interaction data into clear, actionable design recommendations.

Context you provide

  • {{heatmap_data}}: Description of the heatmap, including areas of high and low engagement.
  • {{page_type}}: The type of page or screen analyzed (e.g., homepage, article, app screen).
  • {{user_goal}}: The primary action you want users to take on that page.
  • {{design_concerns}}: Any specific areas you are worried about or want to improve.

Instructions

  1. Ask for missing context before proceeding.
  2. Analyze the heatmap data to identify the top high-engagement and low-engagement areas.
  3. Explain why certain areas might attract or lose attention, based on UX principles.
  4. Recommend specific design changes to improve low-engagement zones while preserving what works.
  5. Prioritize recommendations based on their potential to improve user engagement.

Output format Provide a structured report with: Engagement Summary, High-Engagement Areas, Low-Engagement Areas, Recommendations, and Prioritized Actions. Use clear headings and bullet points.

Guardrails

  • Do not invent specific heatmap metrics; work only with provided descriptions.
  • Flag any assumptions about user intent or behavior.
  • Keep recommendations focused on design and layout, not content strategy.

Example

  • {{heatmap_data}}: High engagement on hero image and CTA button, low on footer links; {{page_type}}: E-commerce homepage; {{user_goal}}: Product discovery; {{design_concerns}}: Footer ignored.

Follow-up prompts

  • What are the best practices for interpreting heatmap data?
  • How can I use this analysis to prioritize design changes?
  • What other data sources should I combine with heatmaps?