Decision tree analysis is the process of creating visual documents that outline the potential outcomes of decisions.
There are four types of decision trees: the Current Reality Tree, the Evaporating Cloud Tree, the Future Reality Tree, and the Strategy and Tactics Tree.
Decision trees can help project managers navigate challenges by identifying root causes, finding timely solutions and protecting project budgets.
While decision trees are typically used in traditional project management methodologies like Critical Chain Project Management, they can also work alongside any methodology or Agile framework.
Decision trees can help resolve issues relating to product quality, constraints, project finances, operations and more.
The five steps in decision tree analysis are starting with an idea, adding decision tree nodes, reaching the endpoint, calculating expected values and evaluating the outcome.
Project leaders use decision trees to visualize complex problems that occur during the end-to-end project management cycle.
Decision trees offer many advantages that can improve your approach to solving problems.
Decision trees are easy to make and maintain, and they can be shared with others quickly.
Decision trees can help you manage project finances, find the root cause of an issue and figure out logical steps to fix the problem.