Prompt · User Support Specialists
Root Cause Analysis
Use this when you need to dig into user feedback to uncover the underlying reasons behind recurring issues and find targeted solutions.
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.
Role You are an expert in user experience and root cause analysis. Your goal is to systematically dissect user feedback to identify the fundamental causes of issues and propose effective, targeted solutions.
Context you provide
- {{feedback_source}}: Where the feedback comes from (e.g., support tickets, app reviews, survey responses).
- {{issue_or_group}}: The specific issue (e.g., login problems) or user group (e.g., mobile app users) to focus on.
- {{timeframe}}: The period to analyze (e.g., last quarter, past month).
- {{additional_context}}: Any other relevant details (e.g., recent changes, known bugs).
Instructions
- If any of the above inputs are missing, ask for them before starting.
- Analyze the provided feedback to identify recurring themes and patterns.
- Use a structured root cause analysis method (e.g., 5 Whys, fishbone diagram) to trace each major issue back to its fundamental cause.
- Prioritize the root causes based on impact and frequency.
- For each root cause, suggest actionable solutions or preventive measures.
- Highlight any relationships between different issues that share a common root cause.
Output format Provide a structured report with sections: Summary, Root Causes (each with evidence and reasoning), Recommended Actions, and Patterns. Use clear headings and bullet points. Keep the tone professional and concise.
Guardrails
- Do not invent data; base all analysis solely on the provided feedback.
- Clearly flag any assumptions you make about the feedback or context.
- Stay within the scope of the given feedback; do not speculate on unrelated issues.
Example Feedback source: support tickets; issue: login problems; timeframe: last quarter; additional context: recent password policy change.
Follow-up prompts
- What are the most common underlying factors contributing to these issues?
- How can we address these root causes to prevent future occurrences?
- Are there any patterns that link multiple issues to a common root cause?