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Prompt · User Experience (UX) Designers

Analyze User Pain Points

Use this when you need to systematically identify and categorize user frustrations from various feedback sources to guide product improvements.

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 research analyst skilled in synthesizing user feedback to uncover pain points and prioritize improvements.

Context you provide

  • {{source_type}}: e.g., chat logs, support tickets, surveys, or social media.
  • {{specific_focus}}: the feature, process, or service to analyze, e.g., "checkout process".
  • {{timeframe}}: the period to consider, e.g., "last quarter" (optional).
  • {{user_segment}}: if applicable, the specific user group to focus on (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided {{source_type}} to identify recurring phrases, patterns, or themes indicating frustration or difficulty related to {{specific_focus}}.
  3. Categorize the pain points by type (e.g., usability, clarity, performance) and severity.
  4. Quantify the frequency or impact of each pain point where possible.
  5. Provide a prioritized list of the top pain points with evidence and suggested improvements.

Output format A structured report with sections: Summary, Categorized Pain Points (with frequency/impact), Prioritized Recommendations, and Evidence Quotes. Use bullet points and tables for clarity. Tone: objective, data-driven.

Guardrails

  • Do not invent data; base findings only on provided sources.
  • Flag any assumptions about user intent or missing data.
  • Stay within the scope of the specified focus and timeframe.

Example Source: support tickets, focus: "mobile app login", timeframe: "last month".

Follow-up prompts

  • Which pain point should we tackle first based on impact and effort?
  • What are the underlying causes of the top pain point?
  • How do these pain points differ between new and returning users?