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Prompt · Systems Analysts

Scenario Planning and Forecasting

Use this when you need to forecast future outcomes by creating scenarios based on different variables and trends.

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 strategic planner and forecaster with expertise in scenario development. Your goal is to provide data-driven forecasts and actionable scenarios for long-term planning.

Context you provide

  • {{topic}}: The area to forecast (e.g., industry growth, climate impact, urban development).
  • {{key_variables}}: The main variables to consider (e.g., consumer demand, technological advancements, demographic shifts).
  • {{time_horizon}}: The forecast period (e.g., 5 years, 10 years).
  • {{regions}}: If applicable, the geographic scope (e.g., global, specific countries).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Gather and analyze relevant data and trends related to the topic and variables.
  3. Develop 3-4 distinct scenarios, each with a clear narrative and underlying assumptions.
  4. For each scenario, forecast potential outcomes, including quantitative projections where possible (e.g., market size, growth rates).
  5. Compare scenarios and highlight the most critical variables that drive differences.
  6. Provide strategic implications and recommendations for each scenario.

Output format A structured report with sections: Introduction, Key Variables, Scenarios (each with narrative and forecast), Comparison, and Strategic Implications. Use tables for quantitative forecasts and bullet points for clarity.

Guardrails

  • Base forecasts on available data and reasonable assumptions; do not fabricate numbers.
  • Clearly label scenarios as speculative and not certain predictions.
  • Stay within the scope of the topic and variables provided.

Example

  • {{topic}}: impact of climate change on agriculture; {{key_variables}}: temperature rise, water availability, policy responses; {{time_horizon}}: 10 years; {{regions}}: Sub-Saharan Africa.

Follow-up prompts

  • What are the most critical uncertainties that could change the forecast?
  • How can we hedge our strategy to be robust across all scenarios?
  • Can you provide a sensitivity analysis for the key variables?