Scenario Planning with Monte Carlo Simulation

This framework translates strategic uncertainty into probabilistic outcomes using Monte Carlo simulation. By modeling key assumptions (demand growth, cost inflation, adoption rates) as distributions rather than fixed numbers, it generates thousands of possible futures and quantifies risk. Outputs include probability-weighted forecasts, downside risk metrics, and decision thresholds. This approach helps executives stress-test strategies and avoid overconfidence in single-point forecasts.