Prompt · UX/UI Designers
Heatmap Engagement Analysis
Use this when you need to interpret heatmap data to understand user engagement and identify design improvements.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- Ask for missing context before proceeding.
- Analyze the heatmap data to identify the top high-engagement and low-engagement areas.
- Explain why certain areas might attract or lose attention, based on UX principles.
- Recommend specific design changes to improve low-engagement zones while preserving what works.
- 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?