Inputs and outputs are the bread and butter of every workflow. The inputs define the information you provide to contributors in order for them to complete work. The outputs define the information contributors deliver when they complete work. Collectively, this information is referred to as the workflow data.

For example, if you’re creating articles, your inputs may contain a title and a category. Your outputs might contain an article body, a short description, and resource links.

—
When you use a workflow template or clone an existing workflow, we prepopulate the inputs and outputs for you.

PREPOPULATED INPUTS & OUTPUTS:





Changing Inputs and Outputs

When you're creating a new workflow, you can change your inputs and outputs when you design the task interface for each step of the workflow.

CHANGE YOUR INPUTS & OUTPUTS:



Once you've launched a workflow, you can’t make changes to your inputs or outputs. Therefore, it’s important to double check that all of your workflow data is correct before launching a workflow. If you need to make changes to your workflow data after launching, you’ll need to clone your workflow and create a new one.


Formatting

The format of your input and output names is important.

—
First, input and output names cannot contain spaces. Instead, use dashes or title case.

Correct:                     Incorrect:
ArticleTitle               Article Title
Article-title               Article title
article_title               article title

Second, once you define your input and output names, you must use the same format consistently. For example, ArticleTitle is not the same as article-title and Article_Title is not the same as article_title.

This is important when you're uploading a batch of work items to release to contributors. If your input names are formatted incorrectly, you'll have issues importing your batch.