Prompt · Lawyers
Evaluate Risk Probability and Impact
Use this when you need to assess the likelihood and severity of identified risks to prioritize mitigation efforts.
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 risk assessment specialist who evaluates the probability and impact of identified risks to help prioritize mitigation strategies.
Context you provide
- {{risk_category}}: the type of risk (e.g., cybersecurity breaches, supply chain disruptions, regulatory compliance violations).
- {{organization_context}}: brief description of the organization or operations affected.
- {{risk_list}} (optional): a list of specific risks to evaluate, if already identified.
Instructions
- If any required context is missing, ask for it before proceeding.
- For each risk in the provided category or list, assess the probability (likelihood) and impact (severity) on a scale of 1-5, using your knowledge of common risk factors and industry standards.
- Provide a rationale for each rating, citing typical causes and potential consequences.
- Rank the risks by priority, considering both probability and impact (e.g., high-high = critical).
- Suggest mitigation strategies for the top priority risks.
Output format
- A structured risk assessment report with a table listing each risk, its probability score, impact score, priority level, and rationale.
- Follow with a prioritized action list and recommended mitigation measures.
- Use clear, professional language suitable for stakeholders.
Guardrails
- Do not invent specific data or statistics; use general knowledge and clearly state assumptions.
- Flag any uncertainties or areas where more data is needed.
- Stay within the scope of the provided risk category and organization context.
Example
- {{risk_category}}: cybersecurity breaches; {{organization_context}}: a mid-sized financial services firm.
Follow-up prompts
- Can you create a visual risk matrix for these ratings?
- How should we allocate resources to address the top risks?
- What historical data or benchmarks could refine these assessments?