Connect When I Work and V7 Go to Build Intelligent Automations
Enable Integrations or automations with these events of When I Work and V7 Go
Enable Integrations or automations with these events of When I Work and V7 Go
Actions
Create an User
Creates an employee, manager, or supervisor.
Create Project
Creates a new project.
Create a New Session
Create a new session
Delete Project
Delete a project.
Update Project
Update a project .
Create an export
Creates a new export
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Frequently Asked Questions
To start, connect both your When I Work and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in When I Work triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how When I Work data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between When I Work and V7 Go 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 When I Work and V7 Go. 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.
About When I Work
When I Work is an employee scheduling and time tracking software designed to streamline workforce management and enhance communication among teams. It provides tools for scheduling, attendance tracking, and time clock functionalities, catering to businesses seeking efficient shift planning and workforce management solutions.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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