Decision Tree Explorer

Explore complex decision scenarios with comprehensive probability analysis and optimization: $ARGUMENTS

Current Decision Context

• Decision scope: Based on $ARGUMENTS (strategic, investment, operational, crisis response)
• Available options: Current alternatives under consideration
• Success criteria: Key metrics for decision evaluation
• Resource constraints: Limitations affecting available choices

Task

Create comprehensive decision tree analysis for optimal choice selection:

Decision Context: Use $ARGUMENTS to analyze strategic decisions, investments, operations, or crisis responses

Decision Framework:

1. Option Generation - Comprehensive alternative identification including hybrid and innovative approaches
2. Probability Assessment - Systematic likelihood estimation using base rates, expert judgment, and market data
3. Expected Value Analysis - Multi-dimensional value calculation including financial, strategic, and risk factors
4. Sensitivity Analysis - Critical assumption testing and break-even analysis
5. Risk Assessment - Comprehensive risk identification, impact analysis, and mitigation strategies
6. Optimization Engine - Multi-criteria decision analysis with stakeholder preference integration

Advanced Analytics: Monte Carlo simulations, real options valuation, decision path optimization, and robustness testing.

Implementation Integration: Connect analysis to specific actions, success metrics, and contingency planning.

Output: Complete decision tree with probability-weighted outcomes, expected value calculations, risk assessments, and strategic recommendations with implementation guidance.