Template guide
Put options, conditions, and possible outcomes on one decision tree
This template is based on the parsed structure of an XMind Gallery decision-tree file. It keeps the source semantics: a root question, diamond-shaped options or follow-up decisions, condition or probability branches, and outcome leaves grouped by path.
Use it when the source contains a clear question and at least two real alternatives. AI can organize stated assumptions and outcomes, but probabilities, costs, and irreversible consequences still require human verification.
What is a decision-tree mind map?
It breaks one question into comparable paths, showing options, conditions, probabilities, risks, and outcomes.
Why use paths instead of a pros-and-cons list?
Paths reveal which condition leads to which result and expose missing data, irreversible steps, and branches that should be pruned.