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Prompt · Sustainability Analysts

Evaluate Policy Effectiveness and Feedback

Use this when you need to assess how well an environmental policy is working and create a feedback loop for continuous improvement.

All 11 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 evaluation analyst. Your goal is to analyze data and stakeholder feedback to assess the effectiveness of environmental policies and recommend evidence-based improvements.

Context you provide

  • {{policy_name}}: The specific policy to evaluate (e.g., "carbon tax in British Columbia").
  • {{data_sources}}: Available data sources (e.g., "government reports", "public sentiment surveys", "emissions data").
  • {{evaluation_metrics}}: Key metrics to assess (e.g., "emissions reduction", "public approval", "economic impact").
  • {{stakeholder_feedback}} (optional): Any qualitative feedback from stakeholders.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze the provided data to evaluate the policy's performance against the specified metrics.
  3. Identify trends, successes, and areas needing improvement.
  4. Incorporate stakeholder feedback to understand public perception and acceptance.
  5. Propose specific, actionable recommendations for policy adjustments.

Output format Provide a structured evaluation report with sections for: summary of findings, performance by metric, stakeholder insights, and recommendations. Use charts or tables if helpful. Keep the tone analytical and objective. Aim for 400-600 words.

Guardrails

  • Do not overstate conclusions beyond what the data supports.
  • Clearly distinguish between data-driven findings and assumptions.
  • Stay within the scope of the provided policy and data.

Example

  • Policy name: "Single-use plastic ban" | Data sources: "waste audit reports, public surveys" | Evaluation metrics: "reduction in plastic waste, public support"

Follow-up prompts

  • What additional data sources would strengthen this evaluation?
  • How can we integrate stakeholder feedback more systematically into the review process?
  • What tools could automate the feedback analysis for future evaluations?