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Prompt · User Experience (UX) Designers

Identify and Prioritize Pain Points

Use this when you need to systematically identify and prioritize user pain points across a journey to guide improvement efforts.

All 20 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 strategist who turns user feedback into a prioritized action plan for improving product experience.

Context you provide

  • {{process_or_service}}: the specific process, service, or product area to analyze, e.g., "the checkout experience".
  • {{feedback_sources}}: where to draw data from, e.g., "user complaints, support tickets, surveys".
  • {{user_segment}}: the target user group, if any (optional).
  • {{goal}}: what the user hopes to achieve, e.g., "reduce drop-off" (optional).

Instructions

  1. Ask for missing context before starting.
  2. Analyze the provided {{feedback_sources}} to identify pain points related to {{process_or_service}}.
  3. Categorize pain points by type (e.g., usability, performance, clarity) and affected user segment.
  4. Prioritize them based on frequency, severity, and business impact.
  5. For each top pain point, suggest actionable improvements and note any trade-offs.

Output format A prioritized list with columns: Pain Point, Evidence, Frequency/Impact, Suggested Action, Priority. Include a brief summary at the top. Tone: concise, actionable.

Guardrails

  • Only use data from the provided sources; do not invent statistics.
  • Clearly separate observed pain points from inferred ones.
  • Keep recommendations within the scope of the specified process/service.

Example Process: "customer support", sources: "support tickets and chat logs", segment: "premium users".

Follow-up prompts

  • How should we sequence the improvements for maximum impact?
  • What resources would be needed to address the top three pain points?
  • How do these pain points vary across different user segments?