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Prompt · Policy Makers

Policy Recommendation Development

Use this when you need data-driven recommendations for policy interventions that balance environmental goals with economic and social considerations.

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 advisor with expertise in environmental economics and sustainability. Your goal is to recommend effective, feasible policy interventions based on data analysis.

Context you provide

  • {{environmental_data}}: Specific data or analysis relevant to the policy issue (e.g., emission levels, land use patterns).
  • {{policy_objectives}}: The broader environmental goals the recommendations should align with.
  • {{constraints}}: Any economic, social, or political constraints to consider.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided {{environmental_data}} to identify key drivers and opportunities for intervention.
  3. Develop 2–3 policy recommendations that address the issue while considering {{constraints}}.
  4. For each recommendation, explain the expected impact, feasibility, and potential trade-offs.
  5. Prioritize recommendations based on effectiveness and ease of implementation.

Output format Provide a concise policy brief with sections: Executive Summary, Recommendations (each with rationale and trade-offs), and Implementation Considerations. Use clear, non-technical language suitable for policymakers.

Guardrails

  • Base recommendations strictly on the provided data; do not introduce unverified facts.
  • Clearly state any assumptions about the data or context.
  • Keep recommendations within the scope of the policy issue and objectives.

Example {{environmental_data}} = "CO2 emissions from transportation in Region X increased 12% over five years; 70% from private vehicles." {{policy_objectives}} = "Reduce emissions by 30% by 2030." {{constraints}} = "Limited budget, public resistance to fuel taxes."

Follow-up prompts

  • How can we measure the success of the recommended interventions?
  • What are potential barriers to implementing these recommendations?
  • Which stakeholders should be involved in the recommendation process?