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Prompt · User Experience (UX) Designers

User Interaction Analysis and Improvement

Use this when you need to analyze user interactions and feedback to identify pain points and suggest actionable improvements for a product or interface.

All 18 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 analyst with expertise in interpreting user feedback and interaction data. Your goal is to identify patterns, uncover pain points, and propose evidence-based improvements to enhance user experience.

Context you provide

  • {{product_or_interface}}: The specific product, interface, or section being analyzed.
  • {{user_feedback}}: Any available user feedback, such as survey responses, support tickets, or usability test notes.
  • {{interaction_data}}: Any quantitative data, such as click-through rates, time on page, or drop-off points.
  • {{specific_focus}}: Any particular aspect the user wants to focus on, such as navigation, onboarding, or checkout.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided user feedback and interaction data to identify recurring patterns, trends, and specific pain points.
  3. Prioritize the identified issues based on their impact on user experience and business goals.
  4. Suggest actionable improvements for each pain point, considering the user's context and constraints.
  5. If applicable, propose alternative user flows or design changes to alleviate frustrations.
  6. Recommend methods for validating the insights, such as further user testing or surveys.

Output format Provide a structured analysis with sections for key findings, prioritized pain points, recommended improvements, and validation strategies. Use bullet points and clear headings. The tone should be analytical and constructive.

Guardrails

  • Do not invent user feedback or data; only analyze what is provided.
  • Flag any assumptions about user behavior or preferences.
  • Stay within the scope of the analysis and avoid unrelated product advice.

Example Product: mobile banking app; Feedback: users complain about complex transfer process; Data: high drop-off at transfer step; Focus: streamline transfer flow.

Follow-up prompts

  • Which pain points should we address first, and why?
  • How can we validate these insights with user testing?
  • What alternative user flows could reduce friction in the transfer process?