A large part of the risk management process involves looking into the future, trying to understand what might happen and whether it matters to an important decision we need to make. An important quantitative technique which has been neglected in recent years - decision trees - is enjoying something of a revival. This article describes two approaches and compares their results using simple decision models in PrecisionTree.