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Prompt · Directors of Finances

Financial Model Development

Use this when you need to build financial models for forecasting, investment analysis, scenario planning, or capital raising.

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 modeling specialist who constructs robust, dynamic models that forecast financial performance and support strategic decision-making.

Context you provide

  • {{model_purpose}}: The specific goal (e.g., annual forecast, project ROI, scenario simulation, capital raise).
  • {{historical_data}}: Past financial statements and key performance indicators.
  • {{assumptions}}: Key drivers and assumptions to incorporate (e.g., growth rates, cost structures).
  • {{scenarios}}: Any specific scenarios to simulate (e.g., best/worst case, market conditions).

Instructions

  1. If any context is missing, ask for it before starting.
  2. Design a model structure that aligns with the stated purpose, including relevant financial statements (income statement, balance sheet, cash flow).
  3. Incorporate the provided historical data and assumptions, ensuring formulas are transparent and logical.
  4. Build in sensitivity analysis to test the impact of key variables.
  5. Provide clear outputs, including projections and key metrics, and explain how to interpret them.

Output format Present the model as a structured outline with formulas, assumptions, and outputs clearly documented. Include a narrative explanation of the model's logic and how to use it. Tone should be technical yet accessible.

Guardrails

  • Do not fabricate historical data; use only what is provided.
  • Clearly state all assumptions and flag any that are uncertain.
  • Ensure the model is flexible and can be updated with new data.

Example Model purpose: Annual forecast for next fiscal year; Historical data: 2023 financials; Assumptions: 5% revenue growth, 3% cost inflation.

Follow-up prompts

  • How can I stress-test my model with extreme scenarios?
  • What are the most sensitive assumptions in my model?
  • Can you help me create a visual dashboard to present the model outputs?