When the future has more than one shape, a decision tree shows you which branch is worth taking — by weighing outcomes, probabilities, and strategic value.
Step-by-step guidance with tips on when to use decision vs chance nodes, and how to read expected value.
Walk through a prebuilt example. See how the pieces fit before you build your own tree.
Start with an empty decision node. For experienced users or when you already know what to model.
Click a node to select it, then use Add to selected in the toolbar to attach child nodes.
Hover a non-root node to reveal the collapse › button — click it to hide/show its subtree for cleaner printing.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.