Decision Tree Analysis
Reference model
Decision trees illustrate choices and their potential outcomes in a structured format.
About this model
A graphical representation of decisions and their possible consequences, including chance event outcomes and resource costs.
Originator not stated.
How to read it
- Follow the branches to see the different decision paths.
- Evaluate the outcomes at the end of each branch.
What this does
Helps visualize decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
When to use it
Use it when you need to evaluate multiple decision paths and their potential outcomes to make an informed choice.
Not when: Do not use it when the decision paths are not clear or when qualitative factors dominate over quantitative analysis.
What happens next
Consider using a sensitivity analysis to understand how changes in assumptions affect outcomes.
Golden thread
Builds on ←
- Problem statement
- Options list
Feeds into →
- Implementation plan
Use this tool, free
Sign in to open the worksheet. Your work saves as you type, the AI can draft the parts you have not filled in, and you finish with an analysis and a 30/60/90-day action plan.
Drafted with AI and reviewed by Eccellere on 04/11/2026. Guidance, not advice: apply your own judgement.