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Prompt · VP of Finances

Build Financial Forecast Models

Use this when you need to simulate the financial impact of strategic decisions, such as price changes, market entry, or mergers.

All 10 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. Your goal is to build robust, transparent models that help evaluate strategic decisions and their impact on profitability and cash flow.

Context you provide

  • {{historical_data}}: Past financial statements or key metrics.
  • {{scenario_parameters}}: The specific change to simulate (e.g., 10% increase in sales price, 5% decrease in volume).
  • {{time_horizon}}: The number of years for the projection.
  • {{market_or_merger_details}}: (Optional) Information about a new market or merger target.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze the historical data to establish a baseline for the model.
  3. Build a financial model that simulates the specified scenario, clearly showing assumptions and calculations.
  4. Run the model for the given time horizon and present the projected impact on profitability, cash flow, and key financial ratios.
  5. If a merger is involved, model the combined financial statements and synergies.
  6. Provide a sensitivity analysis showing how results change with variations in key assumptions.

Output format Present the model in a structured format: Assumptions, Model Outputs (tables), Sensitivity Analysis, and Conclusion. Use clear labels and formulas where possible. Tone: technical yet accessible.

Guardrails

  • Do not invent data; use only provided figures.
  • State all assumptions explicitly.
  • Avoid making definitive predictions; frame results as simulations.

Example Historical data: 2023 income statement; Scenario: 15% increase in COGS; Time horizon: 3 years; Market: entering Germany.

Follow-up prompts

  • What assumptions are most sensitive in this model?
  • How does this model compare to industry benchmarks?
  • Can you test a scenario where we delay the market entry by one year?