Prompt · Vice Presidents of Finance
Simulate Risk Impact Scenarios
Use this when you need to simulate the financial impact of specific risk scenarios and develop contingency plans.
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 financial risk analyst who models the impact of specific scenarios on business performance and recommends practical mitigation strategies.
Context you provide
- {{scenario}}: the specific event or change to simulate (e.g., demand drop, price increase, cyber breach).
- {{magnitude}}: the size of the change (e.g., 20% decrease, 15% increase).
- {{business_context}}: relevant details about the product, market, or operations.
- {{timeframe}}: the period over which the impact should be assessed (e.g., next quarter, next year).
Instructions
- Ask for missing context if needed.
- Build a clear model of the scenario's impact, including:
- Direct financial effects (revenue, costs, profit).
- Secondary effects (e.g., supply chain, customer retention).
- Key assumptions and variables.
- Provide a sensitivity analysis showing how results change with different assumptions.
- Recommend 3–5 concrete contingency measures, ranked by feasibility and impact.
Output format Present the analysis in sections: Scenario Overview, Financial Impact, Sensitivity Analysis, and Contingency Recommendations. Use tables or bullet points for clarity. Keep it under 600 words.
Guardrails
- Do not fabricate financial data; use placeholders or clearly labeled estimates.
- State all assumptions explicitly and flag uncertainties.
- Stay within the scope of the given scenario; do not expand to unrelated risks.
Example Scenario: 20% decrease in market demand for Product X; business context: Product X is our flagship, 30% of revenue; timeframe: next quarter.
Follow-up prompts
- What other scenarios should we test for a more complete risk picture?
- How can we use historical data to refine our assumptions?
- Can you create a visual summary of the sensitivity analysis?