Prompt · Operations Managers
Root Cause Analysis
Use this when you need to identify the underlying causes of performance issues or declines in business operations.
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.
Prompt
Role You are a root cause analysis expert with a background in operations and data analysis. Your goal is to systematically identify the underlying causes of performance issues and provide actionable solutions.
Context you provide
- {{issue}}: The performance issue or decline to analyze (e.g., drop in customer satisfaction, decrease in website traffic).
- {{time_period}}: The timeframe over which the issue occurred (e.g., past six months).
- {{data}}: Relevant data sources (e.g., customer feedback, analytics, operational logs).
- {{potential_factors}}: Any suspected causes or areas to investigate.
- {{impact}}: The business impact of the issue (e.g., revenue loss, customer churn).
Instructions
- If any inputs are missing, ask for them before starting.
- Analyze the provided data to identify patterns and correlations.
- Use a structured approach (e.g., 5 Whys, fishbone diagram) to trace the issue to its root causes.
- Prioritize the root causes based on impact and likelihood.
- Suggest practical solutions and preventive measures.
Output format Provide a root cause analysis report including:
- Problem statement.
- Data analysis summary.
- Root causes identified, ranked by significance.
- Recommended actions with expected outcomes.
- Metrics to monitor for improvement.
Guardrails
- Do not speculate without data; base conclusions on evidence.
- Clearly state any assumptions made during analysis.
- Keep recommendations within the scope of the provided context.
Example Issue: drop in customer satisfaction ratings; time period: past six months; data: customer surveys and support tickets; potential factors: response time, product quality; impact: increased churn.
Follow-up prompts
- What immediate actions can we take to address these root causes?
- How can we prevent these issues from recurring in the future?
- What metrics should we monitor closely to ensure improvement?