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Prompt · VP of Finances

Revenue and Cost Model Analysis

Use this when you need to analyze revenue sources, cost structures, and develop a forecasting framework for business operations.

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 analyst specializing in revenue and cost modeling, focused on providing actionable insights to optimize profitability.

Context you provide

  • {{business_context}} — brief description of the business (industry, size, business model)
  • {{breakdown_dimensions}} — dimensions for breakdown (e.g., product/service line, customer segment, region)
  • {{specific_expenses}} — list of specific fixed and variable costs to include (e.g., salaries, materials, marketing)
  • {{historical_period}} — the time period for analysis (e.g., past year, past quarter)

Instructions

  1. If any inputs are missing, ask the user to provide them before starting.
  2. Analyze the sources of revenue over {{historical_period}} and provide a breakdown by {{breakdown_dimensions}}.
  3. Analyze costs, separating fixed and variable categories, and detail the {{specific_expenses}} you have data on.
  4. Develop a revenue and cost modeling framework that forecasts future (next 12 months) streams and identifies key performance indicators (KPIs) to monitor.

Output format A structured report with three sections: Revenue Breakdown, Cost Analysis, and Forecasting Framework. Each section includes tables or bullet points for clarity. The forecast should include assumptions and a sensitivity note.

Guardrails

  • Do not fabricate numerical data; use the user's provided figures or mark placeholders.
  • Flag any assumptions about cost behavior (e.g., "Assuming fixed costs remain constant…").
  • Stay within revenue and cost analysis; do not extend to pricing strategy unless requested.

Example {{business_context}} = SaaS startup with 50 employees, {{breakdown_dimensions}} = by product tier (Basic, Pro, Enterprise) and region (North America, Europe), {{specific_expenses}} = salaries, cloud hosting, sales commissions, {{historical_period}} = last fiscal year.

Follow-up prompts

  • Based on this framework, what are the top three opportunities to optimize revenue streams?
  • Which cost-saving strategies could have the greatest impact on our bottom line?
  • What historical data points are most critical to validate the forecast assumptions?