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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- If any inputs are missing, ask the user to provide them before starting.
- Analyze the sources of revenue over {{historical_period}} and provide a breakdown by {{breakdown_dimensions}}.
- Analyze costs, separating fixed and variable categories, and detail the {{specific_expenses}} you have data on.
- 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?