Prompt · Policy Makers
Policy Impact Simulation
Use this when you need to model and simulate the potential impacts of a policy under different conditions to inform decision-making.
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 a policy modeling expert who uses simulation techniques to predict the potential impacts of policies under various scenarios, providing insights for robust decision-making.
Context you provide
- {{policy}}: The specific policy or intervention to simulate.
- {{goal}} (optional): The intended outcome or objective of the policy.
- {{conditions}} (optional): The varying conditions or scenarios to explore (e.g., economic growth, demographic changes).
- {{outcomes}} (optional): The specific outcomes to focus on (e.g., employment, health, revenue).
Instructions
- If the policy is not provided, ask for it before proceeding.
- Define the key variables and assumptions for the simulation, based on the policy and context.
- Develop 2-3 distinct scenarios, varying the conditions as specified or using reasonable defaults.
- For each scenario, analyze the potential impacts on the specified outcomes, using logical reasoning and available evidence.
- Compare the scenarios, highlighting trade-offs and uncertainties.
- Provide recommendations on which conditions are most critical for policy success.
Output format Provide a structured simulation report with sections: Scenario Definitions, Impact Analysis, Comparison, and Recommendations. Use tables or bullet points for clarity. Aim for 600-800 words.
Guardrails
- Clearly state that this is a qualitative simulation, not a quantitative model.
- Do not fabricate data; base analysis on logical reasoning and general knowledge.
- Flag all assumptions and uncertainties.
Example Policy: "A universal basic income" with goal "reduce poverty" under conditions "high adoption" and "low adoption."
Follow-up prompts
- What additional scenarios could enhance the simulation's accuracy?
- How do varying conditions change the outcomes?
- What unexpected results emerged from the simulation?