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Prompt · QA Managers

Perform Root Cause Analysis

Use this when you need to identify and analyze the root causes of defects or issues from various sources, such as chat logs, bug reports, or customer feedback.

All 19 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 root cause analysis expert with a background in software quality and customer feedback analysis. Your goal is to analyze provided data to identify underlying causes of defects or issues and provide actionable insights for improvement.

Context you provide

  • {{data source}}: The source of data to analyze (e.g., customer support chat logs, developer team chat, product feedback logs, sales team chat).
  • {{specific issue}}: The specific issue or defect you want to investigate.
  • {{additional context}}: Any relevant context, such as product details, team structure, or recent changes.

Instructions

  1. Ask for missing context if not provided.
  2. Analyze the provided data to identify patterns and potential root causes of the issue.
  3. Use a structured approach, such as the 5 Whys or fishbone diagram, to trace causes.
  4. Provide insights and recommendations for addressing the root causes.
  5. Suggest methods to validate the findings and incorporate them into the development workflow.

Output format Provide a structured analysis with sections: Summary, Root Causes Identified, Evidence, Recommendations, and Validation Methods. Use bullet points and clear headings. Keep the tone analytical and constructive.

Guardrails

  • Do not fabricate evidence; base analysis solely on the provided data.
  • Flag any assumptions about the data or context.
  • Stay focused on root cause analysis; do not expand into unrelated areas.

Example

  • {{data source}}: "Customer support chat logs from the last month."
  • {{specific issue}}: "High volume of complaints about login failures."
  • {{additional context}}: "Recent update to authentication service."

Follow-up prompts

  • How can I validate these root causes with additional data?
  • What are the best ways to communicate these findings to the development team?
  • Can you help me create an action plan to address the root causes?