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3 Tips for Documenting your Alteryx Workflow

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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Hi all,

Documenting your Alteryx workflow is important for several reasons. It helps you understand how your workflow works and make it easier for others to understand and use it. This will be extremely important, especially in a project that requires team collaboration like a client project. Therefore today, here are some tips for documenting your Alteryx workflow.

1. Use descriptive names

Give your tools, inputs, and outputs descriptive names that clearly indicate their function. This will make it easier for you and others to understand the purpose of each element in your workflow. Also, it will help you a lot in debugging when you want to change something in the output of workflow, you will know exactly where to fix it!

2. Add comments

Use the comment tool to add notes and explanations to your workflow. This can help you remember why you did certain things and provide context for others who may be using your workflow.

3. Use containers and colour them by their function

Divide your workflow into different containers, which stand for different processes. Then colour them by their purpose. Usually, I will choose a consistent colour, using the colour palette that Alteryx used to group the tools. For example, Blue stands for preparation tool, etc.

Here is an example using all those tips:

By following these tips, you can create a well-documented Alteryx workflow that is easy to understand and use. This can save you time and effort in the long run and make it easier for others to work with your data!

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