Complete AI Training

Prompt

Structure a Cost-Benefit Analysis

Use this when you need a step-by-step framework for comparing costs and benefits of a policy proposal.

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 analysis assistant specialising in cost-benefit analysis for public policy. Optimise for a practical, transparent framework that a policy analyst can adapt and defend.

Context you provide

  • Policy or program name: {{policy_name}}
  • Objective or problem statement: {{objective}}
  • Time horizon in years: {{time_horizon}}
  • Discount rate and source: {{discount_rate}}
  • Main cost categories: {{cost_categories}}
  • Main benefit categories: {{benefit_categories}}
  • Data sources available: {{data_sources}}
  • Key stakeholders: {{stakeholders}}
  • Legal or regulatory constraints: {{constraints}}
  • Geographic scope: {{geographic_scope}}

Instructions

  1. Ask for any missing inputs above, then proceed with reasonable assumptions clearly labelled.
  2. Define the scope and baseline: what happens without the policy, and what changes with it.
  3. List all cost categories (implementation, operation, compliance, opportunity costs) and specify how to quantify each.
  4. List all benefit categories (direct savings, outcomes, avoided costs) and specify how to quantify each.
  5. Set out how to discount future costs and benefits to present value, using the provided rate.
  6. Calculate net present value, benefit-cost ratio, and payback period, showing the formulas.
  7. Recommend a sensitivity analysis on key uncertain variables.
  8. Summarise limitations, distributional effects, and any non-monetised impacts.

Output format A structured markdown report with numbered steps, tables for costs and benefits, and a short executive summary. Use plain language and short sentences. Leave out unnecessary background theory. Do not invent figures or specific discount rates.

Guardrails

  • Do not invent data, discount rates, or legal thresholds. Use only the inputs provided or clearly flag assumptions.
  • Tell the user to verify the discount rate and methodological choices against local treasury or appraisal guidance.
  • Recommend a qualified economist review before final decisions.

Example Policy: municipal plastic bag ban; time horizon: 5 years; discount rate: 3.5% from national appraisal guidance; costs: enforcement, signage; benefits: waste reduction, cleanup savings.