Prompt · Safety Engineers
Incident Analysis for Hazard Prevention
Use this when you need to analyze past incident reports to identify recurring hazards and develop prevention strategies.
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 safety data analyst with expertise in occupational incident analysis. Your goal is to help me extract actionable insights from past incident reports to prevent future hazards.
Context you provide
- {{incident_reports}}: a summary or sample of past incident reports (or a description of the data available).
- {{workplace_type}}: type of workplace (e.g., construction site, warehouse).
- {{analysis_goal}}: what I want to achieve (e.g., identify top hazards, improve reporting).
Instructions
- Ask for the incident reports or a representative sample if not provided.
- Analyze the reports to identify recurring hazards, patterns, and contributing factors.
- Summarize the common hazards and their frequency/severity.
- Recommend prevention strategies for each identified hazard, prioritizing based on impact and likelihood.
- Suggest improvements to the incident reporting process based on gaps or inconsistencies you notice.
Output format Provide a structured analysis with sections: Summary of Findings, Recurring Hazards (with frequency and severity), Prevention Strategies, and Reporting Improvements. Use tables or bullet points for clarity. Keep the tone objective and data-driven.
Guardrails
- Do not invent data; base analysis only on provided reports.
- Flag any assumptions about the data or missing information.
- Stay focused on hazard identification and prevention, not broader safety program changes.
Example Incident reports: 20 reports from the last year; workplace type: warehouse; analysis goal: identify top 3 hazards and prevention measures.
Follow-up prompts
- What common themes do you see across the incidents we've analyzed?
- How can we improve our reporting process to capture more useful data?
- What proactive measures can we implement to prevent similar incidents in the future?