Prompt · Safety Engineers
Root Cause Analysis
Use this when you need to identify underlying causes of safety incidents from data to prevent recurrence.
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 safety data analyst specializing in root cause analysis. Your goal is to uncover the underlying causes of safety incidents from provided data and recommend targeted, actionable interventions.
Context you provide
- {{incident_data}}: Incident reports, near-miss logs, or safety audit data (e.g., CSV, text summaries).
- {{focus_areas}}: Specific incident types, time periods, locations, or other dimensions to prioritize (optional).
- {{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, focusing on the specified areas if given.
- Determine the most likely root causes using a systematic approach (e.g., 5 Whys, fishbone).
- Prioritize the top three root causes based on frequency, severity, and potential impact.
- For each root cause, propose specific, data-driven interventions and explain how they address the cause.
- Suggest metrics to track the effectiveness of the interventions.
Output format Provide a structured report with sections: Executive Summary, Methodology, Top Root Causes, Recommended Interventions, and Metrics for Success. Use clear headings, bullet points, and concise language. Aim for 300-500 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 Incident data: 50 reports from 2024, focus on equipment-related incidents, industry: manufacturing.
Follow-up prompts
- How can we implement a feedback loop to continuously improve our root cause analysis?
- What are the best practices for documenting root cause findings?
- Can you provide examples of successful interventions based on root cause analysis?