Triggering event identification and application dialog validation

A system comprising:

• one or more processors;
• and
• one or more non-transitory storing computer-readable instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
• receiving, from a client device associated with a group-based communication system, user interaction data associated with the group-based communication system;
• inputting the user interaction data to a machine learning model, wherein the machine learning model is generated based at least in part on historical triggering event identification data, wherein the machine learning model is trained on first data that includes a labeled user representing a user profile associated with an application dialog data and on second data that includes the user profile associated with a type of the user interaction data;
• receiving, from the machine learning model, a triggering event associated with an application external to the group-based communication system;
• sending an application dialog request, associated with the triggering event, to the application;
• in response to sending the application dialog request to the application, receiving an application dialog and dialog validation data from the application, wherein the application dialog includes instructions for rendering, via a group-based communication user interface associated with the group-based communication system, a group-based message including a template associated with the application;
• and
• based at least in part on a determination, using the dialog validation data, that the application is validated for communication with the client device, outputting the application dialog to the client device for display via the group-based communication user interface.

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, from a client device associated with a group-based communication system, user interaction data associated with the group-based communication system;
• inputting the user interaction data to a machine learning model, wherein the machine learning model is generated based at least in part on historical triggering event identification data, wherein the machine learning model is trained on first data that includes a labeled user representing a user profile associated with an application dialog data and on second data that includes the user profile associated with a type of the user interaction data;
• receiving, from the machine learning model, a triggering event associated with an application external to the group-based communication system;
• sending an application dialog request, associated with the triggering event, to the application;
• in response to sending the application dialog request to the application, receiving an application dialog from the application, wherein the application dialog includes instructions for rendering, via a group-based communication user interface associated with the group-based communication system, a group-based message including a template associated with the application;
• and
• based at least in part on a determination that the application is validated for communication with the client device, outputting the application dialog to the client device for display via the group-based communication user interface.