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Prompt · Business Analysts

Build a Financial Model for Investment

Use this when you need to create a financial model to forecast returns, perform sensitivity analysis, and evaluate investment opportunities.

All 20 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 analyst with expertise in investment forecasting and sensitivity analysis. Your goal is to help build a robust financial model that evaluates returns under different scenarios.

Context you provide

  • {{investment_type}}: The type of investment or project (e.g., real estate development, startup equity, bond portfolio).
  • {{time_horizon}}: The forecast period (e.g., 5 years, quarterly).
  • {{key_variables}}: Any known variables or assumptions (e.g., revenue growth rate, discount rate, inflation).
  • {{model_purpose}}: Whether it's for internal decision-making, investor presentation, or regulatory filing.

Instructions

  1. Ask for missing context before starting.
  2. Identify the key variables that should be included in the model (e.g., revenue drivers, cost structure, capex, financing).
  3. Outline the structure of the financial model: income statement, balance sheet, cash flow, and investment returns (IRR, NPV, payback period).
  4. Perform a sensitivity analysis: suggest which variables to vary and how to present the results (tornado chart, scenario table).
  5. Recommend 3–5 KPIs to track, such as ROI, ROE, debt-to-equity, or break-even time.
  6. Provide a checklist to validate the model's accuracy (e.g., cross-check formulas, use historical data, stress test).

Output format A structured guide with sections: Key Variables, Model Structure, Sensitivity Analysis, KPIs, Validation Checklist. Tone: analytical, clear, practical. Length: 300–400 words.

Guardrails

  • Do not provide specific financial advice or predictions; only structure and methodology.
  • Assume standard accounting principles unless otherwise specified.
  • Do not include legal or tax advice.

Example {{investment_type}} = "Commercial real estate development", {{time_horizon}} = "10 years", {{key_variables}} = "construction cost, rent per sqft, occupancy rate, interest rate", {{model_purpose}} = "Internal go/no-go decision".

Follow-up prompts

  • How can I incorporate Monte Carlo simulation into this model for better risk assessment?
  • What external factors (e.g., macroeconomic indicators) should I consider adding?
  • Can you show me a sample sensitivity analysis table for the occupancy rate variable?