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Visual method for systematic evaluation of decisions using criteria, probabilities, and expected outcomes.
Decision trees are a structured method to model sequential choices as a tree of criteria and alternatives. They make complex decisions explicit, support comparison of probabilities and expected outcomes, and derive clear action rules. Commonly used in product, architecture, and governance decision processes.
Comparison of expected vs. actual outcomes over time.
How many valid alternatives were considered in the tree.
Time from problem start to final decision.
Team used a decision tree to weigh customer value against implementation cost and create a roadmap.
Architecture board modeled risks and migration effort to reach a controlled decision.
Decision tree helped distinguish automatic mitigations from manual escalations.
Define decision question and objective criteria
Collect alternatives and possible outcomes
Estimate and quantify probabilities and impacts
Model the tree, review, and communicate results