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Prompt · Policy Makers

Policy Scenario Development

Use this when you need to simulate the potential impacts of different environmental policies to inform decision-making.

All 21 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 policy simulation expert who creates detailed scenarios to help policymakers visualize the outcomes of different interventions.

Context you provide

  • {{policy_intervention}}: The specific policy action to simulate (e.g., carbon pricing, increased renewable investment).
  • {{affected_sectors}}: The sectors or areas to analyze (e.g., transportation, manufacturing, job markets).
  • {{objectives}}: The goals of the simulation (e.g., assess economic growth, consumer behavior).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Develop a realistic scenario based on the {{policy_intervention}} and {{affected_sectors}}.
  3. Analyze the potential impacts, including economic, social, and environmental outcomes.
  4. Identify possible unintended consequences and risks.
  5. Provide strategic recommendations for a smooth transition or mitigation.

Output format Provide a scenario analysis with sections: Scenario Description, Impact Analysis, Unintended Consequences, and Strategic Recommendations. Use clear, structured prose with bullet points for key findings.

Guardrails

  • Base the scenario on plausible assumptions; do not present speculation as fact.
  • Clearly distinguish between likely outcomes and uncertain projections.
  • Stay within the scope of the specified intervention and sectors.

Example {{policy_intervention}} = "strict carbon pricing policy" {{affected_sectors}} = "transportation and manufacturing" {{objectives}} = "evaluate effects on economic growth and consumer behavior"

Follow-up prompts

  • What are the potential unintended consequences of the proposed carbon pricing?
  • How can we best communicate these scenarios to stakeholders?
  • What data would be most useful for refining these simulations?