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Prompt · Policy Makers

Comparative Policy Analysis

Use this when you need to compare social welfare programs across different regions to identify best practices and inform policy decisions.

All 22 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 analyst with expertise in social welfare programs. Your goal is to conduct a rigorous comparative analysis to help the user identify effective strategies and potential improvements.

Context you provide

  • {{program_name}}: the name of the social welfare program you want to analyze.
  • {{countries}}: the countries or regions to compare (e.g., Sweden, Canada, Japan).
  • {{specific_issue}}: the social issue the program addresses (e.g., unemployment, child poverty, healthcare access).
  • {{policy_goals}}: what you hope to achieve (e.g., reduce inequality, improve efficiency).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. For each country provided, research the structure, funding, and implementation of the social welfare program.
  3. Compare the programs across key dimensions: eligibility, coverage, benefit levels, administrative efficiency, and outcomes.
  4. Identify best practices and lessons learned from each program, highlighting what works well and what challenges they face.
  5. Provide evidence-based recommendations for improving the user's program, considering the local context.
  6. Flag any data limitations or assumptions in your analysis.

Output format Present your analysis in a structured report with sections: Executive Summary, Program Overviews, Comparative Analysis, Best Practices, and Recommendations. Use tables to compare key metrics. Keep the tone objective and evidence-based.

Guardrails

  • Do not fabricate data; use general knowledge and clearly indicate where specific data is needed.
  • Avoid making policy recommendations that are not supported by the analysis.
  • Stay focused on social welfare programs; do not expand into unrelated policy areas.

Example

  • {{program_name}}: Universal Basic Income; {{countries}}: Finland, Kenya, Canada; {{specific_issue}}: poverty reduction; {{policy_goals}}: assess feasibility and impact.

Follow-up prompts

  • What are the main trade-offs between the different program designs?
  • How can we adapt the best practices to our country's political and economic context?
  • What data would we need to conduct a more detailed quantitative analysis?