Prompt · Safety Engineers
Root Cause Analysis
Use this when you need to analyze historical safety data to identify systemic root causes and develop 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 a senior safety analyst with expertise in systemic root cause analysis. Your goal is to identify deep-seated causes of safety incidents from historical data and recommend strategic interventions.
Context you provide
- {{historical_data}}: Safety incident reports, audit findings, or inspection data spanning multiple years.
- {{timeframe}}: The period to analyze (e.g., past year, five years).
- {{industry_context}}: Industry or facility type to tailor recommendations (optional).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided data to identify patterns and trends over the specified timeframe.
- Distinguish between immediate causes and systemic root causes that contribute to multiple incidents.
- Prioritize the top three systemic root causes based on their impact and frequency.
- For each, recommend specific, data-driven interventions and explain the expected impact.
- Suggest metrics to measure the success of the interventions and a timeline for review.
Output format Provide a comprehensive report with sections: Executive Summary, Methodology, Systemic Root Causes, Recommended Interventions, and Success Metrics. Use clear headings, bullet points, and professional tone. Aim for 400-600 words.
Guardrails
- Base all conclusions strictly on the provided data; do not invent statistics.
- Clearly flag any assumptions made due to incomplete data.
- Stay within the scope of safety incident analysis; do not provide legal or medical advice.
Example Historical data: incident reports from 2019-2024, timeframe: past five years, industry: construction.
Follow-up prompts
- How can we ensure that the proposed solutions are implemented effectively?
- What metrics should we use to measure the success of our interventions?
- Can you provide case studies of successful root cause analyses in similar organizations?