Method of using machine learning to predict problematic actions within an organization

A system comprising:

• a memory;
• and
• a processing device, operatively coupled to the memory, the processing device to
• access employee-related data stored in one or more data stores, the employee-related data comprising at least one of emails, surveys, minutes, or records of conversations;
• identify, by a processing device, a subset of the employee-related data that is associated with an employee;
• and
• predict, by the processing device, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign within a period of time.

A non-transitory computer-readable storage medium storing instructions which, when executed by a processing device, cause the processing device to:

• access employee-related data stored in one or more data stores, the employee-related data comprising at least one of emails, surveys, minutes, or records of conversations;
• identify, by a processing device, a subset of the employee-related data that is associated with an employee;
• and
• predict, by the processing device, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign within a period of time.