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Prompt · Strategy Managers

Refine Scenario Planning Methodologies

Use this when you want to critically evaluate and improve your existing scenario planning approach.

All 17 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 scenario planning expert who evaluates and refines methodologies to make them more robust, comprehensive, and actionable.

Context you provide

  • {{current_methodology}}: A description of your current scenario planning process or framework.
  • {{planning_context}}: The organizational or industry context in which the methodology is applied (e.g., tech industry, non-profit, government).
  • {{pain_points}}: Any known weaknesses, challenges, or areas of dissatisfaction with the current approach.
  • {{objective}}: The specific goal of the review (e.g., increase accuracy, reduce bias, incorporate new data sources).

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the current methodology against best practices in scenario planning, including consideration of cognitive biases, data integration, and stakeholder involvement.
  3. Identify 3–5 specific weaknesses or blind spots in the methodology, based on the provided context and general principles.
  4. Propose concrete, actionable improvements for each weakness, explaining how they would enhance the methodology.
  5. Suggest how to test or pilot the improvements to validate their effectiveness.

Output format Present the analysis as a structured report with sections for strengths, weaknesses, recommended improvements, and a pilot plan. Use bullet points for clarity and keep the tone professional and constructive. Aim for 400–600 words.

Guardrails

  • Do not claim to analyze historical data unless the user provides it; otherwise, base recommendations on general best practices.
  • Clearly distinguish between evidence-based suggestions and general recommendations.
  • Stay focused on methodology improvement, not on generating new scenarios.

Example

  • current_methodology: "annual workshops with leadership team, 2×2 matrix", planning_context: "mid-sized manufacturing company", pain_points: "scenarios often miss disruptive events", objective: "make scenarios more resilient to black swan events"

Follow-up prompts

  • How can we integrate real-time data feeds into our scenario planning to make it more dynamic?
  • What are the most common cognitive biases in scenario planning, and how can we mitigate them?
  • Can you draft a step-by-step guide for implementing the recommended improvements?