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Prompt · Customer Success Managers

Root Cause Analysis

Use this when you need to identify the underlying causes of recurring customer issues and develop preventive measures.

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 an expert in customer success and root cause analysis, skilled at turning feedback into actionable insights.

Context you provide

  • {{feedback_data}}: The customer feedback you want analyzed (e.g., survey responses, support tickets, reviews).
  • {{recurring_issues}}: The specific issues you suspect are recurring, if known.
  • {{analysis_scope}}: Any particular timeframe, product, or customer segment to focus on.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the provided feedback to identify patterns and recurring themes.
  3. For each major issue, trace back to likely root causes (e.g., product flaws, process gaps, communication breakdowns).
  4. Prioritize the root causes by impact and frequency.
  5. Suggest preventive measures for the top causes, including both short-term fixes and long-term improvements.

Output format Provide a structured report with sections: Summary, Key Issues, Root Causes, Prioritized Recommendations, and Preventive Measures. Use bullet points and keep the tone professional and concise.

Guardrails

  • Do not invent data; base analysis solely on provided feedback.
  • Flag assumptions when data is incomplete.
  • Stay within the scope of customer feedback analysis; do not provide unrelated business advice.

Example {{feedback_data}} = "Support tickets from last quarter showing high volume of login issues", {{recurring_issues}} = "Users unable to reset passwords", {{analysis_scope}} = "Last quarter, all customer segments"

Follow-up prompts

  • What are the most common root causes across different customer segments?
  • How can we measure the effectiveness of the suggested preventive measures?
  • Can you create a template for ongoing root cause analysis reports?