- Decision Tree
Free decision trees online
Create a decision tree online
Decision trees depict decisions and consequences as branches of a tree. One decision leads to another and another, eventually arriving at an end result. We’ve planted the seeds to help your decision trees flourish in Canva Whiteboards. Start with a template and use our online whiteboard tools to make it your own. Design and collaborate without hassle using editable shapes, connectors, sticky notes, and a Draw tool. Weigh several options or predict outcomes quickly and effectively with your teams.
Infinite space made for unlimited ideas
Professionally designed templates to fast-track your workflow
Share and ideate with anyone, anytime, on any device
Run a workshop with whiteboard elements, sticky notes, and a timer
Embed your decision tree in Docs, presentations, and more easily
Easy online whiteboard tools and data visualization
How to create a decision tree
What is a decision tree?
Decision trees(opens in a new tab or window) are diagrams that map out the potential outcomes of a sequence of decisions. They represent the logic of a problem as a tree branching out in different directions and allow you to see how one choice leads to another. Think of a decision tree as a roadmap of sorts. But instead of a linear map that takes you from point A to point B, a decision tree presents several paths, all taking you to different destinations. The choices you make along the way determine your final destination.
Why use decision trees?
It’s easy to miss the forest for the trees when you’re bogged down with massive amounts of data. Decision tree analysis helps uncover pathways that lead you to see the bigger picture.
Decision trees have a wide range of applications, including strategic planning, budget management, data analysis(opens in a new tab or window), and machine learning. Other benefits of decision trees are simplicity and flexibility. In software projects, a decision tree can complement an SRS document(opens in a new tab or window) by mapping conditional requirements into a clear visual format. Once you’ve honed in on your major decision, it’s easy to build a tree from there. You can also add or remove branches and nodes at any time during the process without affecting the original structure.
Root node
Decision node
Chance node
Alternative branches
Rejected alternative
Endpoint node
Evaluate every choice like an expert
Decision trees can be time-consuming to create, particularly when you've a lot of data. But with Canva’s free online decision tree maker, you can create one in minutes! Just head to Whiteboards, choose a free template, and start designing with our handy tools and features. Leave the design to Canva and concentrate on making the right decisions.
Find all the tools you need
Canva Whiteboards has all the tools you need to make a decision tree. Create nodes with customizable shapes, use automatic connectors to add branches, and browse fonts, graphics, charts, tables, and more to make it your own. Highlight key points with Draw(opens in a new tab or window) and use stickers to emphasize how you feel about certain decisions.
Never run out of space
Having to cram all your data into a limited space can be frustrating. When everything’s tiny and hard to read, it can feel like a major waste of effort. You have unlimited space to let your ideas branch out far and wide with Canva Whiteboards. Take all the space that you need to flesh out a creative decision you can be proud of.
Collaborate and share anytime
Working with a team? Canva Whiteboards lets you collaborate easily. Send a link or email invite to your team and keep things organized with our collaboration features. Sticky notes(opens in a new tab or window) let you provide feedback and context to teammates’ input. Colorful cursors tell you where and what everyone’s working on. And the timer tool helps keep meetings on track.
Start inspired with decision tree templates
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Frequently Asked Questions
- In the simplest sense, a decision tree is used when you need to break down an elaborate dataset — particularly when you need to make a decision or understand the potential consequences of certain actions. Decision trees are used in a wide range of applications, including project management, audience segmentation in marketing, data science, machine learning, medical diagnostics, and more.
- Decision trees work by starting as a single node that splints into different directions. Branches lead to decision nodes (represent choices) or chance nodes (represent outcomes), which visualize paths for every possible decision. Create one within minutes using our free decision tree maker.
- There are two types of decision trees in machine learning: classification and regression trees. Classification trees categorize data based on a fixed target variable, such as determining if someone fits into a target demographic. Regression trees work with continuous data to predict the value of a target variable, like estimating a property's value or the time needed to complete a task.
- One of the biggest advantages of decision trees is that they are simple to understand and interpret. They can be used to analyze any kind of data, regardless of what format it's in or where it comes from.
- Among some of the limitations of decision trees is the fact that they don't take into account all possible variables. This means they can lead to inaccurate predictions. It’s true that decision trees are used to predict outcomes of future events based on data collected from previous events. However, a decision tree is only recommended if you have enough data, as incomplete data can lead to inaccuracies.