A decision tree is a flowchart-like structure where each internal node represents a decision or question, each branch represents an outcome (Yes/No), and each leaf node represents a final conclusion or action. It's widely used in decision analysis, machine learning, business strategy, and everyday problem-solving to visualize choices and their potential consequences.

Start by clicking the "Root" button to create your starting question. Each node has Yes (green) and No (red) branches. Click the + icons on any node to add follow-up questions, or click the node itself to edit its text. You can drag the canvas to pan, use the mouse wheel to zoom, and export your tree as JSON, PNG, or SVG.

Decision trees are used in business planning (evaluating project viability), medical diagnosis (symptom-based pathways), customer support (troubleshooting guides), software debugging (error resolution flowcharts), personal decisions (career choices, financial planning), and machine learning (classification and regression models). They help break complex decisions into simple Yes/No steps.

Absolutely! You can export as JSON to save and later re-import your tree for editing. Use Export PNG for a high-resolution image suitable for presentations, documents, or sharing online. The Export SVG option provides a scalable vector graphic ideal for printing or embedding in websites. All exports maintain the visual structure of your tree.

Good decision tree questions are clear, binary, and actionable. Each question should have a definitive Yes or No answer. Avoid ambiguous or open-ended phrasing. For example, "Is the budget over $10,000?" is better than "What is the budget?" Keep questions mutually exclusive—the Yes and No paths should lead to distinct next steps. Leaf nodes should contain final conclusions or actions.

No. This tool runs entirely in your browser. Your decision tree data is stored only in your browser's local storage (for convenience) and is never uploaded to any server. You can clear your data at any time using the Reset button. For complete privacy, export your tree as a JSON file and delete the browser data.

Pan: Click and drag any empty area of the canvas to move around. Zoom: Use your mouse scroll wheel or the +/- buttons in the toolbar. Click "Fit" to automatically adjust the view so the entire tree is visible. On mobile devices, you can pinch to zoom and drag to pan. The current zoom level is always displayed in the toolbar.