Analysis & Strategy
Decision Tree
MyPMP
QMS Template
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π§ Analysis & Strategy
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About the Decision Tree template
A Decision Tree is a branching diagram that maps a choice into its possible actions, chance events, and outcomes, letting you compare paths by their expected value or risk. It turns a fuzzy "which option?" question into an explicit structure of decision nodes, probability branches, and payoffs. Use it to make trade-offs visible and defensible before committing budget or resources.
It's part of My QMS, MyPMP's Quality Management System: fill it in online, personalize it with your name and logo, then export a clean, branded PDF. Your work auto-saves in your browser.
When to use a Decision Tree
- βΈChoosing between capital investments or vendor bids with uncertain returns
- βΈDeciding build-vs-buy, in-house vs outsource, or go/no-go on a project phase
- βΈEvaluating risk responses where outcomes depend on probabilities you can estimate
- βΈExplaining the logic behind a recommendation to a steering committee or sponsor
What a good Decision Tree includes
- βRoot decision node stating the question being answered
- βDecision branches for each mutually exclusive option under consideration
- βChance nodes with probabilities for uncertain events (probabilities summing to 1)
- βOutcome values (cost, revenue, or utility) at each branch endpoint
- βExpected value calculation rolled back to each decision node
- βCriteria or notes recording assumptions behind probabilities and payoffs
What's inside this template
The interactive form above gives you:
ContextFindingsImplicationsActions
Tips & common mistakes
- π‘Keep probabilities on each chance node summing to 100%, or the expected values will be wrong.
- π‘Roll back from right to left: calculate endpoint outcomes first, then work toward the root.
- π‘Avoid over-branching; prune options that are clearly dominated so the tree stays readable.
How it works
- 1. Fill it in β type directly into the fields, tables and sections above.
- 2. Brand it β add your organization name and logo with the Branding button.
- 3. Export β print to PDF, or become a member to white-label and sync across devices.
FAQ
How do you calculate expected value in a decision tree?οΌ
At each chance node, multiply every outcome value by its probability and sum the results; then at each decision node, select the branch with the best expected value and carry it back toward the root.
What is the difference between a decision node and a chance node?οΌ
A decision node (usually a square) represents a choice you control between alternatives, while a chance node (usually a circle) represents an uncertain event resolved by probability rather than by your decision.
When should I use a decision tree instead of a simple pros-and-cons list?οΌ
Use a decision tree when outcomes hinge on uncertain events with estimable probabilities and quantifiable payoffs; a pros-and-cons list is fine for qualitative choices without meaningful probability weighting.
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