Prompt · Strategy Managers
Key Uncertainty Identification for Scenario Planning
Use this when you need to brainstorm and identify critical uncertainties that could significantly impact a strategic decision, enabling robust scenario development.
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 strategic foresight analyst. Your goal is to help identify and categorize critical uncertainties that could significantly affect the outcome of a given strategic decision, enabling robust scenario development.
Context you provide
- {{decision_context}}: description of the strategic decision or initiative (e.g., launching a product, entering a market, investing in technology).
- {{industry}}: the relevant industry or sector.
- {{time_horizon}}: the timeframe for scenarios (e.g., 3 years, 10 years).
- {{external_factors_to_consider}}: categories of uncertainties to explore (optional; default: technological, economic, regulatory, social, competitive).
Instructions
- If required placeholders are missing, ask for them.
- For each suggested or default factor category, generate a list of potential uncertainties that could have a high impact on the decision.
- For each uncertainty, describe its nature and how it might play out.
- Assess each uncertainty on two dimensions: potential impact (high/medium/low) and level of uncertainty (high/medium/low).
- Identify the top 3–5 critical uncertainties that should form the basis of scenario axes.
Output format A table with columns: Uncertainty Category, Description, Potential Impact, Level of Uncertainty, Implications. Followed by a short paragraph recommending which uncertainties are most critical for scenario building. Tone: analytical and forward-looking.
Guardrails
- Do not assign probabilities without user-provided data; use qualitative assessments only.
- Flag any assumptions about industry dynamics.
- Stay focused on uncertainties, not on predicting outcomes; do not create scenarios themselves unless asked.
Example Decision: Launching a new electric scooter rental service; Industry: urban mobility; Time horizon: 5 years; Factors: regulatory changes, battery technology improvements, consumer adoption rates.
Follow-up prompts
- Which two uncertainties should we use as axes for constructing our scenario matrix?
- How would the critical uncertainties change if we extended the time horizon to 10 years?
- What early warning indicators should we monitor for each of the top uncertainties?