Guided decisions, consistent outcomes

Turn tribal knowledge into reusable, interactive decision guides your whole team can follow.

Decision Trees

Interactive quiz format

Guide users through questions, computed steps, and data lookups to reach the right outcome every time.

Multiple outcomes

Branch into named outputs that can trigger different downstream actions in a process graph.

Version controlled

Draft, publish, and pin decision tree versions so live runs always use the approved logic.

How Decision Trees works

1

Step 1

Build your decision tree with questions, compute steps, and output nodes

2

Step 2

Publish and embed it in a process graph or run it standalone

3

Step 3

Users follow the guided path and the system records every answer

Decision Trees overview
Decision Trees in action
Decision Trees detail view
Detailed view

Frequently asked questions

Three types: Question nodes present a prompt with selectable answers that branch to different paths, Compute nodes evaluate data or perform calculations to determine the next path, and Output nodes define named outcomes (e.g. 'Escalate to Manager', 'Approve', 'Reject').

Yes. Decision Trees can be embedded as DECISION_TREE nodes inside a System. The tree's output determines which downstream branches execute, enabling automated data-driven routing within complex workflows.

Each execution creates a session that records all answers, computed values, and the final outcome. Sessions provide a full audit trail and can be reviewed later for quality assurance or training purposes.

Yes. Decision Trees support draft and published states. You can version-control the tree logic so live runs and embedded nodes always use the approved version, while you continue editing the draft.

Connect your operations to AI execution.

OKiDO structures your procedures, connects your systems, and makes human + AI execution visible, enforced, and auditable — across your entire organization.