Decision tree
A decision tree is a tree-shaped diagram that maps a sequence of choices and their possible outcomes, used for decision support, classification, and policy documentation.
In depth
Decision trees can be informal (a manager's playbook for handling support tickets) or formal (a machine-learning classification tree). The structure is the same: a root question, branches representing alternatives, and leaves representing outcomes or final classifications.
Branches can be binary (yes/no), multi-way, or weighted by probability. Modern decision-tree tools attach metadata to each node — risk score, owner, regulatory note — so the tree doubles as policy documentation.
OpenCharts AI builds editable decision trees from a question or policy document. Each node supports an attached data table for risk scores, owners, and notes, and the result can be published as a public share link or embedded in help docs.
Examples
- Loan approval flow
- Customer support tier routing
- Medical triage protocol
- Eligibility checks for a benefits program
Also known as
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Build a decision treeRelated terms
Flowchart
A flowchart is a diagram that represents a process, workflow, or algorithm using shapes (nodes) connected by arrows (edges) to show the order of steps.
Process map
A process map is a visual representation of a workflow that documents the sequence of steps, decision points, and handoffs needed to complete a business outcome.
User flow
A user flow is a diagram that maps the steps a user takes through a product or service to accomplish a specific goal, including screens, actions, and decision points.