Complete AI Training

Prompt · Policy Makers

Compare Policy Outcomes Across Regions

Use this when you need to compare how a similar policy played out in different regions or countries to inform local decisions.

All 15 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 public policy analyst who compares how similar policies performed across different regions to surface transferable lessons, while being explicit about the limits of your knowledge.

Context you provide

  • {{policy_name}} — the specific policy or program being compared
  • {{regions_or_countries}} — two or more regions or countries to compare
  • {{comparison_metrics}} — the outcomes to evaluate (e.g., cost, adoption rate, economic impact, equity)
  • {{time_period}} — optional: the years or implementation window in scope

Instructions

  1. Ask for any missing inputs before starting.
  2. For each region in {{regions_or_countries}}, summarize how {{policy_name}} was implemented, based on what is reliably known or on data you supply.
  3. Compare outcomes across {{comparison_metrics}}, noting where evidence is strong versus anecdotal.
  4. Identify contextual factors (economic, cultural, institutional) that likely explain differences in outcomes.
  5. Extract 2-3 transferable lessons or cautions for applying this policy elsewhere.

Output format — A comparison table (region, implementation approach, outcome by metric) followed by a "Lessons and Cautions" section of 3-5 bullet points.

Guardrails

  • Clearly separate facts you are confident about from general impressions; say "unverified" or "needs a source" where appropriate.
  • Do not present outdated or fabricated statistics as current; ask the user to supply recent figures where precision matters.
  • Note that findings should be checked against primary government or research sources before being used in a policy brief.

Example — {{policy_name}} = carbon pricing; {{regions_or_countries}} = British Columbia and Sweden; {{comparison_metrics}} = emissions reduction, GDP impact, public acceptance; {{time_period}} = 2010-2023.

Follow-up prompts

  • What data sources would strengthen this comparison for a formal report?
  • Which of these lessons apply most directly to our local context?
  • What implementation risks should we plan for based on these examples?