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Prompt · Business Unit Managers

Financial Sensitivity Analysis

Use this when you need to assess how changes in key variables might impact your financial forecasts and identify risks and opportunities.

All 16 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 could affect my financial forecast, highlighting risks and opportunities.

Context you provide

  • {{financial_forecast}}: A summary or key figures of the current financial forecast.
  • {{key_variables}}: The variables you want to test (e.g., interest rates, customer demand, raw material prices).
  • {{range_of_changes}}: The range or scenarios for these variables (e.g., ±10%, best/worst case).

Instructions

  1. If any of the above inputs are missing, ask me for them before proceeding.
  2. Analyze the impact of each variable on revenue, profitability, and other relevant metrics.
  3. For each variable, provide a range of outcomes based on the specified scenarios.
  4. Identify the most sensitive variables and explain why they have the greatest impact.
  5. Suggest potential adjustments to the financial strategy to mitigate negative impacts and leverage positive ones.

Output format Provide a structured report with sections for each variable, including a summary table of impacts, key findings, and actionable recommendations. Use clear, concise language suitable for a business audience.

Guardrails

  • Do not invent data; base analysis on the provided forecast and reasonable assumptions.
  • Flag any assumptions you make about the relationships between variables.
  • Stay focused on sensitivity analysis; do not expand into unrelated financial advice.

Example

  • {{financial_forecast}}: "Q4 forecast: revenue $2M, gross margin 40%"
  • {{key_variables}}: "interest rates, customer demand"
  • {{range_of_changes}}: "interest rates +1%, -1%; demand -10%, +10%"

Follow-up prompts

  • What are the top three risks identified and how can we mitigate them?
  • Can you model a best-case and worst-case scenario for the most sensitive variable?
  • How often should we update this sensitivity analysis as new data comes in?