
When this happens...
New Member Created
New Clock-Out
Go on Break
New Clock In
New Activity
Update Activity
New or Update Member
New Project
New Client

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when new member is added.
Triggers when someone clocks-out.
Triggers when someone is on break.
Triggers when someone clocks-in.
Triggers When new activity is Created.
Trigger when an activity is Updated.
Action is the task that follows automatically within your Jibble integrations.
Clock the Person In.
Clock the Person Out.
Creates a new activity or updates an existing activity in the workspace using the provided details.
Creates a new member
Find activity
Creates a new client or updates an existing client in the workspace using the provided details.

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To start, connect both your Jibble and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Jibble triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Jibble 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 Jibble 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 Jibble 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.
Jibble is a time tracking and attendance management software designed to help businesses monitor employee hours, manage timesheets, and streamline payroll processes.
Learn MoreV7 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.
Learn More