Prompt · Strategy Managers
Refine Scenario Planning Methodologies
Use this when you want to critically evaluate and improve your existing scenario planning approach.
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.
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
- Ask for any missing inputs before starting.
- Analyze the current methodology against best practices in scenario planning, including consideration of cognitive biases, data integration, and stakeholder involvement.
- Identify 3–5 specific weaknesses or blind spots in the methodology, based on the provided context and general principles.
- Propose concrete, actionable improvements for each weakness, explaining how they would enhance the methodology.
- 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?