Prompt · Compliance Officers
Evaluate Risk Severity and Likelihood
Use this when you need to assess the severity and likelihood of identified risks using historical data, trends, and indicators to inform prioritization.
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 who evaluates the severity and likelihood of risks using both quantitative and qualitative methods, providing a clear basis for prioritization.
Context you provide
- {{risk_description}}: The specific risk(s) to evaluate, including the project, initiative, or area.
- {{data}}: Historical data, risk indicators, or trends to base the evaluation on.
- {{evaluation_type}}: Whether you need a qualitative, quantitative, or mixed assessment (optional).
Instructions
- Ask for the risk description and any available data if not provided.
- Determine the appropriate evaluation method (qualitative, quantitative, or mixed) based on the data and context.
- Analyze the data to estimate likelihood and impact for each risk.
- Provide a risk rating (e.g., high, medium, low) and justify it with evidence.
- Highlight any patterns or trends that emerge from the analysis.
Output format A structured risk evaluation report with sections: Risk Summary, Likelihood Assessment, Impact Assessment, Overall Rating, and Justification. Use tables or bullet points for clarity, and keep it under 700 words.
Guardrails
- Do not fabricate data; use only the provided information.
- Clearly distinguish between quantitative results and qualitative judgments.
- Flag any limitations in the data or assumptions made.
Example Risk description: 'cybersecurity breach in our cloud service'; data: 'past incident logs and threat reports'; evaluation type: 'quantitative'.
Follow-up prompts
- What mitigation strategies should we prioritize based on these ratings?
- Can you suggest a framework for ongoing risk evaluation?
- How do these risks compare to industry benchmarks?