Use it when you want to begin forecasting work without writing the first draft from scratch.
Scenario Planning Framework AI Prompt
Build a scenario planning framework for this business. Company: {{company}} Key uncertainties: {{key_uncertainties}} Planning horizon: {{horizon}} 1. Identify the key uncertaint... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.
Build a scenario planning framework for this business.
Company: {{company}}
Key uncertainties: {{key_uncertainties}}
Planning horizon: {{horizon}}
1. Identify the key uncertainties:
From the provided list, select 2 dimensions with:
- High impact on business outcomes
- High uncertainty (we do not know which way they will go)
- Independence from each other (orthogonal axes)
Example axes: (Market growth: fast vs slow) x (Competitive intensity: high vs low)
2. Build four scenarios on a 2x2 matrix:
Each quadrant = a different future world
- Scenario 1 (best case): favorable on both axes
- Scenario 2 (growth challenge): favorable market, unfavorable competitive position
- Scenario 3 (volume challenge): unfavorable market, favorable competitive position
- Scenario 4 (stress case): unfavorable on both axes
3. Financial model per scenario:
For each scenario:
- Revenue assumption (growth rate and trajectory)
- Margin assumption (impact on gross and EBITDA margin)
- Cash flow and liquidity position at end of horizon
- Key financial metrics: revenue, EBITDA, FCF, net debt/EBITDA
4. Trigger indicators:
For each scenario: what early data would signal we are moving into that scenario?
- Revenue indicators: order intake, pipeline coverage, churn rate
- Market indicators: competitor pricing, industry PMI, macro data
- Operational indicators: hiring plan, supply chain lead times
5. Strategic responses:
For each scenario: what actions would management take?
- Scenario 1: accelerate investment, hire aggressively
- Scenario 4: cost containment, preserve cash, renegotiate debt
Pre-committing to responses removes decision delay when a scenario materializes.
Return: 2x2 scenario matrix, financial model per scenario, trigger indicator dashboard, and pre-committed strategic responses.When to use this prompt
Use it when you want a more consistent structure for AI output across projects or datasets.
Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.
Use it when you want a clear next step into adjacent prompts in Forecasting or the wider Financial Analyst library.
What the AI should return
The AI should return a structured result that covers the main requested outputs, such as Identify the key uncertainties:, High impact on business outcomes, High uncertainty (we do not know which way they will go). The final answer should stay clear, actionable, and easy to review inside a forecasting workflow for financial analyst work.
How to use this prompt
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Forecasting.
Frequently asked questions
What does the Scenario Planning Framework prompt do?+
It gives you a structured forecasting starting point for financial analyst work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for financial analyst workflows and marked as intermediate, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Scenario Planning Framework is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Full Financial Planning Chain, Rolling Forecast Design, Time Series Revenue Forecasting.