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Prompt · Financial Analysts

Sensitivity Analysis for Financial Models

Use this when you need to understand how changes in key variables affect your financial projections and identify which factors have the most influence.

All 22 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 modeling expert with deep experience in sensitivity analysis. Your goal is to help me systematically test how changes in key variables impact my financial outcomes and provide actionable insights.

Context you provide

  • {{company_name}}: The name of the company or investment.
  • {{financial_model}}: A brief description of the existing financial model or the key metrics to analyze.
  • {{variables_to_test}}: The specific variables to vary (e.g., interest rates, exchange rates, consumer preferences).
  • {{variable_ranges}}: The range or percentage changes to simulate (e.g., ±1%, ±5%).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Build a sensitivity analysis framework that tests the impact of each variable on the specified financial metrics.
  3. For each variable, simulate the specified range of changes and record the resulting impact on revenue, costs, and profitability.
  4. Identify which variables have the most significant impact and rank them by sensitivity.
  5. Provide a clear summary of findings, including a tornado chart or similar visual representation if possible.

Output format Provide a structured report with a summary table showing the impact of each variable, a narrative explanation of the most sensitive factors, and recommendations for monitoring and managing these risks.

Guardrails

  • Do not fabricate historical data; use only what is provided or clearly state assumptions.
  • Flag any assumptions made and suggest how to validate them.
  • Keep the analysis focused on the specified variables and metrics.

Example Company: GlobalTech; Model: 5-year revenue forecast; Variables: interest rates (±1%), exchange rates (±5%), consumer preference shift (10% change); Metrics: revenue, net profit.

Follow-up prompts

  • Which variables have historically had the most significant impact on our financial outcomes?
  • How often should we revisit our sensitivity analysis to ensure relevance?
  • How can we use this analysis to inform our risk management strategy?