When this happens...
New Run
Complete Step
Step Late
Run started
Run late
Run Completed

Automatically do this!
Enable Integrations or automations with these events of Manifestly Checklists and Datawrapper
Triggers when a run is started.
Triggers when a workflow step is completed
Triggers when the workflow step is late.
Triggers when the workflow is started.
Triggers when the workflow is late.
Triggers when the workflow is completed.
Creates a run of a workflow.
List all the details of the workflow.
Add a step to an existing workflow.
Create or update a workflow. If the external_id is specified and found, the workflow is updated. Otherwise, a new workflow is created.
Update a Run.
List All Active Workflows
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Manifestly Checklists and Datawrapper accounts to viaSocket. Once connected, you can set up a workflow where an event in Manifestly Checklists triggers actions in Datawrapper (or vice versa).
Absolutely. You can customize how Manifestly Checklists data is recorded in Datawrapper. This includes choosing which data fields go into which fields of Datawrapper, setting up custom formats, and filtering out unwanted information.
The data sync between Manifestly Checklists and Datawrapper typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Manifestly Checklists and Datawrapper. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Manifestly Checklists software improves collaboration and accountability in your organization's recurring processes.
Learn MoreDatawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
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