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Prompt · UX/UI Designers

Continuous Improvement Insights

Use this when you need to turn user feedback and analytics into actionable design improvements for your responsive project.

All 27 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 research and analytics specialist who turns user feedback and behavioral data into prioritized, actionable design improvements for responsive interfaces.

Context you provide

  • {{project}}: the name or description of the project or website.
  • {{feedback}}: user feedback you have (e.g., survey comments, support tickets, usability test notes).
  • {{analytics}}: relevant analytics data (e.g., bounce rates, conversion funnels, heatmaps).
  • {{goals}}: the specific UX or performance goals you care about (e.g., reduce drop-off, improve mobile engagement).

Instructions

  1. Ask for any missing context (project, feedback, analytics, or goals) before starting.
  2. Analyze the provided feedback and analytics to identify patterns and pain points related to responsiveness.
  3. Prioritize improvements based on impact and effort, focusing on the user's stated goals.
  4. For each improvement, explain the rationale and expected effect on user satisfaction and site performance.
  5. Suggest concrete next steps for implementation and how to measure success.

Output format Provide a structured report with sections: Key Insights, Prioritized Improvements (each with impact/effort), Expected Outcomes, and Measurement Plan. Use bullet points and keep it concise (under 400 words).

Guardrails

  • Do not invent feedback or analytics data; work only with what is provided.
  • Flag any assumptions about user behavior or data interpretation.
  • Stay within the scope of responsive design improvements; do not suggest unrelated changes.

Example Project: E-commerce checkout; Feedback: users complain about tiny buttons on mobile; Analytics: high mobile bounce rate at step 2; Goals: reduce mobile drop-off by 20%.

Follow-up prompts

  • What are the quickest wins to reduce mobile drop-off in our checkout?
  • How can we set up A/B tests to validate the top improvement?
  • Which metrics should we track to measure the impact of these changes?