Decision Tree Maker

Start by typing your root question into the input and clicking 'Make My Decision Tree.' You can then add child nodes, label edges with conditions or probabilities, and assign node types (Decision, Chance, or Outcome). The tree updates live as you edit. Most users have a working diagram in under two minutes.

A decision tree is a diagram that maps choices, chance events, and their outcomes in a branching structure. Use one when you need to compare multiple paths, weigh probabilities, or explain a complex decision to stakeholders. They are especially useful for strategy reviews, risk assessments, and process documentation.

Yes. The decision tree maker is completely free with no sign-up required. You can build, customize, and download your tree at no cost. Free accounts also include limited AI credits so you can try AI-powered tree generation.

Add a Chance node to represent an uncertain event, then label each outgoing edge with a probability value between 0 and 1 (for example, 'High Demand (0.7)'). Enable 'Show Probabilities' in the Display settings to make the values visible on the diagram. Outcome node values can be added to calculate expected returns.

Yes. Describe your decision scenario in plain language — for example, 'Should we expand into a new market this year?' — and the AI will build a structured tree with appropriate node types and branch labels. You can then edit any node, add branches, or adjust probabilities to match your actual situation.

The tool supports three node types: Decision (represents a choice you control), Chance (represents an uncertain event with a probability), and Outcome (the final result at the end of a path). Each type has a distinct color so viewers can read the tree structure at a glance.

Yes. Switch between 'Left to Right' (horizontal) and 'Top to Bottom' (vertical) layouts in the Layout settings panel. Horizontal layouts work well for wide trees with many branches, while vertical layouts fit naturally in portrait documents and slides.

Use the download button to export a high-resolution PNG or SVG file. You can also copy a shareable link to send the tree directly to colleagues, or use the embed code to add it to any website or internal wiki. No account is needed to download.

Free users can build trees with as many nodes as needed for typical diagrams. For very large trees or data-driven trees imported from CSV files, the Pro plan supports file uploads and advanced AI features.

Absolutely. Decision trees are a core concept in machine learning and data science. You can use this tool to visually explain classification logic, feature splits, and leaf node outcomes in a clean, readable format — great for presentations, papers, and teaching materials.