How to use a decision tree template.
- 01Define the decision node
Start with the choice you are making — the root of the tree.
- 02List the branches
For each choice or chance event, list the possible outcomes and their probabilities if known.
- 03Add outcomes at the leaves
Describe what happens at each terminal path — cost, revenue, or a go/no-go decision.
- 04Calculate expected value (optional)
Ask the AI to compute expected values at each node if you have probabilities and payoffs.
Questions about decision tree templates
What is a decision tree used for?
Mapping and analyzing decisions under uncertainty. Each branch represents a choice or a chance outcome; the structure makes all possible paths visible so you can reason about expected outcomes.
When should I use a decision tree instead of a flowchart?
Decision trees model choices under uncertainty (with probabilities and payoffs). Flowcharts model processes and procedures. If the diagram is about what to do in a situation, use a decision tree; if it is about how to do something step by step, use a flowchart.
Can I add probabilities and expected values?
Yes — describe the probabilities for each branch and the AI labels each branch and computes expected values at decision nodes.