The Data sources page allows you to see the status of your connected data sources and the last time they were synced to Worklabs. This is also where you can configure your data purging settings.
Data Capture Approach
How Worklabs ingests data from a source system will depend on its integration capabilities. The table below provides an overview of Worklabs' data capture approach to each data source (system) we connect/integrate with.
There are two primary capture mechanisms:
Streaming / real-time event data capture
Batch data capture at a set interval (e.g., hourly)
Source Systems and Data Types
Workplace from Meta
Workplace from Meta
Streaming / real-time data capture
Worklabs captures create/edit/delete actions, including the content, in real time via Webhooks for the following data types:
Posts
Comments
Chat messages
Knowledge Library articles.
Any raw data captured by Worklabs that triggers a compliance alert will automatically be available for viewing in the Worklabs. If the raw data does not trigger a compliance alert, it will be processed within one hour (i.e., available in Worklabs within one hour of the action taking place on Workplace).
Data types are captured from the following channels:
Groups
Open, Closed, Secret and Multi-company groups
User timelines
Threads
1:1 and group chat message threads
Batch capture
Post views and reactions generated by users are unavailable via Webhooks and, therefore, must be routinely fetched via Graph API.
Worklabs will fetch and process Post view and reaction raw data every hour (i.e., it will be available in the Worklabs within one hour of the action taking place on Workplace).
Slack
Slack
Coming soon
Microsoft Teams
Microsoft Teams
Coming soon
Microsoft Viva Engage
Microsoft Viva Engage
Coming soon