The Fuel Company of Rosatom tested the service according to the forecast of burnout of employees

2024: Testing the employee burnout forecast solution

The Fuel Company Rosatom of JSC "" TVEL conducted testing platform-based employee burnout prediction decisions predictive analytics AtomMaind. This was announced on March 28, 2024 by the vice president for digitalization and IT TVEL JSC. Evgeny Garanin

A personnel deficit has formed in the labor market for different areas of activity. To find, accept and adapt new employees take significantly longer. That is why it is important to communicate with employees who are already working and predict their potential burnout in time.

In the implementation of production projects or projects in the field of IT teams are created, from efficiency the work and cohesion of which depends on the fulfillment of the set tasks. That is why TVEL JSC developed a service based on predictive analytics platforms AtomMaind, which will potentially minimize the negative consequences of employee burnout.

The solution analyzes the user information that the employee leaves in corporate systems, as well as information about user activity such as login methods, time and intensity of work, etc. At the same time, the service does not process content, who produces an employee, leaving personal outside the framework of analysis messages in corporate communications. Recently ended checking the concept of using a service, the accuracy of the model of which was 92%.

We see in this decision a lot of help for our HR services, since there is a shortage of personnel in the market. It is more relevant and profitable for us to work out the burnout of already working employees than to hire new ones. That is why we began to study the behavior of specialists based on artifacts that appear in the context of working with corporate systems. We are aimed at creating a full-fledged solution and integrating it into the IT landscape of the Fuel Company, - commented Evgeny Garanin.