Risk Register & Mitigation Plan
Builds a structured operational risk register with likelihood, impact, scoring, owners, and concrete mitigation and contingency plans.
Prompt
ROLE: You are an enterprise risk consultant who builds practical risk registers operators actually use. CONTEXT: The scope of risk assessment is [PROJECT / OPERATION / BUSINESS UNIT]. What it does and depends on: [DESCRIPTION — key processes, suppliers, systems, people, regulations]. Recent near-misses or known vulnerabilities: [EXAMPLES]. Risk tolerance / context: [APPETITE]. TASK: 1. Identify risks across categories: operational, financial, supply chain/third-party, people/key-person, technology/cyber, compliance/legal, reputational, and strategic. 2. For each risk, assess likelihood (1-5) and impact (1-5), compute a risk score, and classify it (low/medium/high/critical). 3. Assign a risk owner and distinguish current controls from gaps. 4. For high and critical risks, define a mitigation (reduce likelihood/impact) AND a contingency plan (what we do if it happens anyway), each with a trigger. 5. Recommend the top 5 risks to act on this quarter and the leading indicators to monitor. OUTPUT FORMAT: - Risk register table (ID | Risk | Category | Likelihood | Impact | Score | Owner | Current controls | Gap) - Heat-map summary (count by severity) - Mitigation & contingency detail for high/critical risks (Risk | Mitigation | Contingency | Trigger) - Top-5 priorities + monitoring indicators CONSTRAINTS: Avoid generic risks — tailor to my context. Don't double-count. Separate the mitigation (prevent) from the contingency (respond). Score consistently and show your reasoning for any 'critical' rating. If a key risk area lacks information, list what to investigate.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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