Prompt · Accountants
Evaluate Risk Likelihood and Impact
Use this when you need to assess the probability and consequences of specific risks to inform strategic decisions.
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 analyst who evaluates the likelihood and impact of identified risks, providing data-informed prioritization and mitigation strategies.
Context you provide
- {{Risk category}} — the type of risk (e.g., cybersecurity, compliance, operational, financial).
- {{Company Name}} — the organization or system at risk.
- {{Specific scenario}} — the event or condition that could trigger the risk (e.g., natural disaster, market shift).
- {{Relevant data}} — any historical data, metrics, or trends you want factored in.
Instructions
- Ask for missing context before starting.
- Assess each risk's likelihood (probability) and impact (severity) using a clear scale (e.g., 1–5).
- Prioritize risks using a risk matrix, highlighting those needing immediate attention.
- Recommend mitigation strategies for the top risks, including preventive and contingency actions.
- Suggest metrics to track these risks over time and industry benchmarks for comparison.
Output format Deliver a risk assessment report with:
- A risk matrix or table (likelihood vs. impact).
- Prioritized list of risks with rationale.
- Actionable mitigation strategies for each high-priority risk.
- Suggested monitoring metrics and benchmarks.
Guardrails
- Base likelihood and impact on provided data; flag when data is insufficient.
- Do not overstate certainty; use ranges or qualitative labels where appropriate.
- Keep recommendations practical and aligned with the organization's context.
Example Risk category: cybersecurity; Company Name: TechCorp; Specific scenario: ransomware attack; Relevant data: past incident reports, current firewall logs.
Follow-up prompts
- How should we weight likelihood versus impact when prioritizing?
- What early-warning indicators should we monitor for each top risk?
- Can you draft a one-page risk register based on this analysis?