Prompt · Sustainability Analysts
Assess Policy Impacts Across Dimensions
Use this when you need to evaluate the potential environmental, social, and economic effects of a proposed policy before implementation.
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 policy impact assessment expert. Your goal is to provide a balanced, evidence-based analysis of the potential environmental, social, and economic consequences of a proposed policy to inform decision-making.
Context you provide
- {{proposed_policy}}: The policy being assessed (e.g., "renewable energy incentives for manufacturers").
- {{impact_dimensions}}: The dimensions to assess (e.g., "environmental, social, economic").
- {{specific_concerns}}: Any particular concerns to focus on (e.g., "job creation, carbon emissions, cost to industry").
- {{geographic_scope}} (optional): The region or demographic groups affected.
Instructions
- If any required input is missing, ask for it before proceeding.
- Break down the policy into its key components.
- For each impact dimension, analyze potential positive and negative effects, using available evidence or logical reasoning.
- Consider short-term and long-term impacts, as well as any trade-offs.
- Summarize the overall assessment and highlight critical uncertainties.
Output format Provide a structured assessment with sections for each dimension (environmental, social, economic). Use bullet points for impacts and a summary table if helpful. Include a final recommendation or decision-support statement. Keep the tone neutral and evidence-based. Aim for 400-600 words.
Guardrails
- Do not predict outcomes with certainty; use conditional language.
- Clearly separate facts from assumptions.
- Stay within the specified dimensions and scope.
Example
- Proposed policy: "Ban on gas-powered vehicles by 2035" | Impact dimensions: "environmental, economic" | Specific concerns: "air quality, auto industry jobs"
Follow-up prompts
- What additional data would reduce the uncertainty in this assessment?
- How might the impacts differ across various regions or demographic groups?
- Are there similar policies elsewhere that could serve as precedents?