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Decision tree maker

A decision tree is a flowchart that has stopped pretending there is one path. Ask the question, label every answer, and follow each one to where it actually ends.

Browse templates

No account. Saved in this browser until you export it.

Example decision tree maker diagram: the Basic flowchart template.

The pieces

What goes on the canvas

Question
A branch point with labelled answers
Choice
One available option
Outcome
Where a path ends up
Action
Something to do as a result

Building one

From blank canvas to finished diagram

  1. 1Start with the question that comes first. Phrase it so the answers are obvious.
  2. 2Add a branch per answer and label the connector — an unlabelled branch tells the reader nothing.
  3. 3Follow each branch to an outcome or an action, not to another unanswered question.
  4. 4The suggestions panel flags any question left with fewer than two labelled answers.

Where it helps

Good uses

  • Support triage

    Which questions the agent asks, and what each answer means.

  • Eligibility rules

    Policy written as prose hides its edge cases; a tree exposes them.

  • Troubleshooting guides

    Readers follow one path rather than reading all of them.

  • Escalation policy

    Makes visible the point where a decision stops being yours.

Questions

Asked often

How is this different from a flowchart?
A flowchart usually describes a process that loops and rejoins. A decision tree branches outward and does not come back.
Must every branch be labelled?
Nothing is enforced, but unlabelled branches are flagged. A reader cannot follow a fork with no signpost.
Can branches rejoin?
You can draw that, but if paths rejoin often, a flowchart is probably the better shape.
Is the tree stored anywhere online?
No. It stays in this browser until you export it.

Map the decision

Nothing to sign up for. The diagram stays on this device.