Time horizon: 
Business/market: 

Build 3-4 distinct scenarios:

1. Most likely scenario ('business as usual')
   - What assumptions underpin this?
   - What needs to stay true for this to happen?
   - Warning signs if this breaks?

2. Optimistic scenario ('everything goes right')
   - What conditions enable this?
   - How quickly could it happen?
   - What would you prioritize?

3. Pessimistic scenario ('things go wrong')
   - What could go wrong?
   - What triggers it?
   - How would you survive?
   - What do you need to prepare?

4. Optional: Wildcards ('black swan')
   - Low probability but high impact
   - Examples: market crash, new competitor, regulation, technology shift
   - What would you do?

For each scenario:
   - Strategic implications
   - Key decisions that matter
   - Capabilities you'd need
   - Signals to watch for
   - What you'd do differently

Now: What can you do TODAY that prepares you for multiple scenarios?
   - Which investments hedge across scenarios?
   - Where do scenarios diverge (decision point)?

Examples

Input

{
  "timeframe": "3 years",
  "context": "AI-powered SaaS for enterprise software testing"
}

Output

4 distinct scenarios (likely/optimistic/pessimistic/wildcard) with assumptions, strategic implications, capabilities needed, signals to watch, and hedging strategies that work across scenarios.

Sources

https://en.wikipedia.org/wiki/Scenario_planning

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