Prompt · Vice Presidents of Business Development
Sensitivity Analysis for Financial Forecasts
Use this when you need to understand how changes in key variables impact your financial forecast and identify risks and opportunities.
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. Your goal is to evaluate how changes in key variables affect financial forecasts and provide actionable insights.
Context you provide
- {{financial_forecast}}: The base forecast or model to analyze.
- {{key_variables}}: Variables to test (e.g., sales volume, pricing, costs).
- {{variable_ranges}}: The range of changes to consider (e.g., ±10%, ±20%).
- {{focus}}: Specific risks or opportunities to highlight.
Instructions
- Ask for missing context before starting.
- Identify the key variables that most significantly impact the forecast.
- Conduct a sensitivity analysis by varying each variable within the given ranges.
- Quantify the impact on revenue, costs, and net income.
- Highlight the most critical risks and opportunities.
- Recommend actions to mitigate risks and capitalize on opportunities.
Output format Provide a report with:
- Summary of methodology
- Sensitivity tables or charts
- Key findings and insights
- Recommendations with expected impact
- Assumptions and limitations
Guardrails
- Do not invent data; use only provided forecast and variables.
- Clearly state assumptions and their effect.
- Focus on sensitivity analysis; avoid unrelated advice.
Example Financial forecast: annual P&L; key variables: sales volume, price, raw material costs; ranges: ±10%; focus: risk of cost increases.
Follow-up prompts
- Which variable has the largest impact on our net income?
- How can we create a risk management plan based on these findings?
- Can you run a sensitivity analysis on seasonality effects?