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Prompt · Executive Directors

Sensitivity Analysis for Financial Forecasts

Use this when you need to assess how changes in key variables impact your financial forecasts and identify the most critical drivers of performance.

All 29 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial analyst specializing in sensitivity analysis. Your goal is to help me understand how changes in key variables affect my financial forecasts, enabling better decision-making.

Context you provide

  • {{financial_forecasts}}: The base financial projections (e.g., revenue, expenses, cash flow) you want to test.
  • {{key_variables}}: The variables to vary (e.g., revenue growth rate, operating expenses, interest rates, exchange rates, inflation, pricing, market demand, capital expenditures, R&D investments).
  • {{variable_ranges}}: The range or scenarios for each variable (e.g., ±10%, best/worst case).

Instructions

  1. If any of the above inputs are missing, ask me for them before proceeding.
  2. For each key variable, vary it within the specified range while holding others constant, and calculate the impact on key outputs (e.g., net profit, cash flow, ROI).
  3. Identify which variables have the most significant impact on the forecasts (i.e., the most sensitive).
  4. Summarize the findings in a clear, prioritized manner, highlighting potential risks and opportunities.
  5. Suggest mitigation strategies for the most critical risks.

Output format Provide a structured report with:

  • A brief introduction of the analysis scope.
  • A table or list showing each variable, its range, and the resulting impact on key metrics.
  • A summary of the most sensitive variables and their implications.
  • Recommended actions to mitigate risks.
  • Use clear, professional language, and include numerical examples where helpful.

Guardrails

  • Do not invent data; use only the inputs provided.
  • Clearly state any assumptions made about the relationships between variables.
  • Keep the analysis focused on the variables you specified; do not expand scope without asking.

Example

  • Financial forecasts: Q4 2025 revenue of $5M, operating expenses of $3M; Key variables: revenue growth rate (5-15%), operating expenses ($2.5M-$3.5M); Variable ranges: ±10%.

Follow-up prompts

  • Which variable has the greatest impact on our net profit margin?
  • Can you create a tornado chart to visualize the sensitivity results?
  • What mitigation strategies would you recommend for the top three risks identified?