Alternative Analysis Accounting for Uncertainty

This article, the fourth in the SABUDI series, covers the U step: analysing alternatives accounting for uncertainty. It covers building a value model, running sensitivity analysis to identify key drivers, and using Monte Carlo simulation to produce a full distribution of outcomes per alternative. The result is a defensible, quantified basis for recommending the highest value alternative to the decision maker.