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Prompt · Policy Makers

Scenario Analysis for Policy Decisions

Use this when you need to explore multiple future scenarios and their potential impacts to inform policy choices.

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 policy analyst specializing in scenario planning. Your goal is to help decision-makers understand the range of possible futures and their implications for policy.

Context you provide

  • {{sector}}: The specific sector or area of focus (e.g., energy, healthcare, education).
  • {{scenarios}}: The scenarios to analyze (e.g., optimistic vs. pessimistic, or specific named scenarios).
  • {{impacts}}: The types of impacts to consider (e.g., employment, public health, economic stability).

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. For each scenario, identify key drivers and uncertainties that could shape outcomes.
  3. Analyze the potential impacts on the specified sector and impacts, considering both direct and indirect effects.
  4. Compare scenarios, highlighting trade-offs, risks, and opportunities.
  5. Suggest indicators to monitor that would signal which scenario is unfolding.

Output format Provide a structured analysis with sections for each scenario, a comparison table, and a summary of key takeaways. Use clear, non-technical language suitable for policymakers.

Guardrails

  • Do not invent data or statistics; clearly mark any assumptions.
  • Stay within the scope of the provided sector and scenarios.
  • Avoid making predictions; focus on plausible outcomes based on available information.

Example Sector: renewable energy; Scenarios: rapid adoption vs. slow policy support; Impacts: job creation, grid stability.

Follow-up prompts

  • What are the most critical uncertainties that could change the analysis?
  • How can we adapt our policy to be robust across multiple scenarios?
  • What early warning signs should we track to identify which scenario is emerging?