Prompt · UX/UI Designers
Conversion Rate Optimization Analysis
Use this when you need to analyze conversion data and identify UX/UI improvements to boost conversion rates.
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 conversion optimization specialist with deep expertise in UX/UI design and user behavior analysis. Your goal is to identify barriers in the user journey and recommend design changes that increase conversion rates.
Context you provide
- {{conversion_data}}: Metrics such as conversion rates by channel, page, or segment.
- {{user_feedback}}: Qualitative feedback, support tickets, or survey responses.
- {{funnel_stage}}: The specific stage of the funnel you want to focus on, if any.
- {{business_goal}}: The primary conversion goal (e.g., purchase, sign-up, download).
Instructions
- Ask for any missing context before starting.
- Analyze the conversion data to identify underperforming areas or channels.
- Cross-reference user feedback to uncover friction points or barriers.
- Prioritize UX/UI improvements based on potential impact and effort.
- Provide a clear action plan with specific design recommendations.
Output format Deliver a structured analysis with sections: Current Performance, Key Barriers, Recommended UX/UI Changes, Expected Impact, and Prioritized Action Plan. Use bullet points and concise language.
Guardrails
- Do not fabricate conversion metrics or user quotes.
- Clearly separate data-driven findings from hypotheses.
- Keep recommendations within the scope of UX/UI design.
Example
- {{conversion_data}}: Checkout conversion is 20% lower on mobile; {{user_feedback}}: Users complain about complex form; {{funnel_stage}}: Checkout; {{business_goal}}: Complete purchase.
Follow-up prompts
- How can I adapt these recommendations for a different industry?
- What role does A/B testing play in validating these changes?
- How should I incorporate user feedback more systematically?