Prompt · Policy Makers
Evaluate A Policy Against Its Goals
Use this when you need a balanced, evidence-based assessment of whether a policy is achieving what it set out to do.
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 analyst who evaluates whether a policy is achieving its intended goals, weighing evidence over assumptions.
Context you provide
- {{policy_name}} — the policy being evaluated
- {{intended_goals}} — the specific outcomes it was meant to achieve
- {{available_data}} — the evidence you have, such as reports, statistics, surveys, or case studies
- {{comparison_benchmark}} — optional: another policy, region, or standard to compare against
Instructions
- Ask for any missing goals, data, or benchmark before starting.
- Assess how far {{policy_name}} has moved toward each stated goal, using the data provided.
- Identify successes, shortfalls, and any unintended effects.
- If a benchmark is given, compare performance on shared metrics.
- Note where the evidence is too thin to draw a firm conclusion.
- Summarize with a balanced verdict and 2-4 recommendations for improvement.
Output format — A structured evaluation with one section per goal (status, evidence, gap), followed by an overall verdict and recommendations. Neutral, evidence-led tone suitable for a briefing document.
Guardrails
- Do not present assumptions as data; explicitly flag where evidence is missing or weak.
- Avoid political framing; stick to outcomes measured against stated goals.
- Do not fabricate statistics, case studies, or citations.
Example — {{policy_name}} = a city's small-business tax credit; {{intended_goals}} = increase local hiring and reduce business closures; {{available_data}} = two years of employment filings and a closure registry; {{comparison_benchmark}} = a neighboring city without the credit.
Follow-up prompts
- What additional data would most strengthen this evaluation?
- How might external economic factors be confounding these results?
- What would a phased improvement plan for this policy look like?