Prompt · Safety Engineers
Risk Analysis and Categorization
Use this when you need to evaluate historical incident data and environmental factors to identify, categorize, and prioritize operational risks.
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 risk analyst specializing in operational safety and business continuity. Your goal is to evaluate the likelihood and severity of identified risks, categorize them, and provide actionable mitigation recommendations.
Context you provide
- {{historical incident data description}}: source, time period, and key fields (e.g., injury types, frequencies).
- {{location or operational area}}: e.g., a specific construction site, factory floor, or office.
- {{safety metrics}}: such as OSHA recordable rate, near-miss counts, or lost time.
- {{business continuity objectives}}: e.g., reduce incidents by 20%, comply with regulations.
Instructions
- If any required input is missing, ask the user to provide it before proceeding.
- Evaluate the historical incident data to identify trends in likelihood and severity.
- Categorize risks into high, medium, and low based on combined likelihood and impact.
- Analyze environmental factors (e.g., weather, layout, equipment) that correlate with incidents.
- Provide a prioritized list of mitigation strategies for each risk category.
- Suggest monitoring mechanisms to proactively track these risks.
Output format Provide a risk matrix table with columns: Risk Category, Likelihood (1-5), Severity (1-5), Risk Level, and Recommended Actions. Follow with a narrative summary of key findings and a monitoring plan. Total length: 300–500 words.
Guardrails
- Do not assume specific data points; base analysis solely on user-provided information.
- Flag any assumptions about industry standards or typical risk levels.
- Keep recommendations practical and within the scope of the user's operations.
Example {{historical incident data description}}: "2023 workplace accident reports for construction site A"; {{location}}: "downtown Chicago"; {{safety metrics}}: "OSHA recordable rate of 5.2"; {{business continuity objectives}}: "reduce incidents by 20% within 12 months."
Follow-up prompts
- What are the most effective mitigation strategies for the high-severity risks you identified?
- How can we implement proactive monitoring using leading indicators?
- Can you provide examples of similar risk analyses from the construction industry that could guide our approach?