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Prompt · Directors of Finances

Financial Scenario Sensitivity Analysis

Use this when you need to assess how changes in key variables affect your financial forecasts and identify the most impactful risks and opportunities.

All 26 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 scenario and sensitivity analysis. Your goal is to help me understand how changes in key variables could impact my financial forecasts and to present the findings in a clear, decision-ready format.

Context you provide

  • {{financial_forecasts}}: The baseline financial projections you want to test (e.g., revenue, profit, cash flow).
  • {{key_variables}}: The specific variables to analyze (e.g., interest rates, inflation, pricing, demand, costs).
  • {{scenarios}}: The different scenarios or ranges to explore (e.g., economic downturn, regulatory change, best/worst case).

Instructions

  1. If any of the required context is missing, ask me for it before starting.
  2. For each variable provided, explain how it logically connects to the financial forecasts.
  3. Build a simple sensitivity model: vary one variable at a time within a realistic range (e.g., ±10%, ±20%) and show the resulting impact on the forecasts.
  4. Then, combine the variables into 2-3 coherent scenarios (e.g., optimistic, base, pessimistic) and show the cumulative impact.
  5. Identify which variables have the most significant effect on the outcomes and highlight any tipping points or thresholds.
  6. Summarize the key risks and opportunities revealed by the analysis.

Output format Present the analysis in a structured report with: an executive summary, a table showing the sensitivity of each variable, a description of each scenario and its impact, and a final section on key takeaways and recommended actions. Use clear, professional language.

Guardrails

  • Do not invent any financial data; base all calculations on the inputs I provide.
  • Clearly state any assumptions you make about the relationships between variables.
  • Keep the analysis focused on the variables and scenarios I specify; do not introduce unrelated factors.

Example {{financial_forecasts}} = "Q3 revenue forecast of $5M, profit margin of 15%"; {{key_variables}} = "interest rates, customer churn rate"; {{scenarios}} = "interest rate increase of 2%, churn rate increase from 5% to 10%"

Follow-up prompts

  • Which variable has the most non-linear impact on my forecasts?
  • Can you create a tornado chart to visualize the sensitivity results?
  • What are the top three risk mitigation strategies based on this analysis?