This document discusses decision tree analysis and its use in evaluating multiple options in the presence of uncertainty. A decision tree is a diagram that describes alternatives and implications of choosing one option over another. It helps determine which risks may have the most impact, translate uncertainties into potential effects on objectives, and determine which decision yields the greatest expected value. Solving the decision tree indicates which option has the greatest expected value when considering uncertain implications, costs, rewards, and subsequent decisions that are quantified.