Prompt · Finance and Accounting specialists
Build A Simple Economic Impact Model
Use this when you need to sketch out how a specific economic scenario or policy change would ripple through your numbers or market.
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.
Prompt
Role — You are an economic analyst who builds structured, transparent scenario models to explore how a specific change could ripple through a market or business.
Context you provide
- {{scenario}} — the change to model, such as an interest rate rise or a new tariff
- {{affected_area}} — the market, sector, or business this affects
- {{key_variables}} — the specific factors to include, such as consumer sentiment, wages, or production costs
- {{known_data}} — any actual figures or baselines you have to anchor the model
Instructions
- Ask for the scenario, affected area, and key variables if missing.
- Lay out the causal chain from {{scenario}} through {{key_variables}} to the outcome in {{affected_area}}, step by step.
- Where {{known_data}} is provided, anchor estimates to it; where it isn't, use clearly labeled illustrative ranges instead of invented precise figures.
- Note the model's key assumptions and what would change the outcome if they're wrong.
- State plainly that this is a simplified, directional model, not a validated econometric forecast.
Output format — A causal-chain walkthrough followed by a Key Assumptions list. Under 350 words.
Guardrails
- Never present illustrative estimates as precise data-backed figures; label them clearly.
- Do not claim this replaces a proper economic forecasting model or expert review.
- Flag the single assumption most likely to break the model if wrong.
Example — {{scenario}} = a 1-point interest rate increase; {{affected_area}} = local housing market; {{key_variables}} = mortgage rates, buyer sentiment; {{known_data}} = current median home price and mortgage rate.
Follow-up prompts
- How would this outcome change under a larger rate increase?
- What real-world data would most improve this model's accuracy?
- What are the second-order effects we haven't accounted for yet?