The artificial intelligence of the Yva platorm uses NLP (Natural Language Processing) to recognize the presence of praise, positive, negative or conflicts in communications between employees.
The information contained in text messages is extremely sensitive to the business of our customers. With this awareness, we deliberately designed Yva in such a way that all text analytics are implemented as a classification. The system has a task: to understand whether the text contains a set of high-level features that can give useful information about the performance of individual employee of the company, about their contribution to a healthy atmosphere in the team, about the actual (not nominal) place of the employee in the business processes of the enterprise.
Yva is designed in such a way that text messages are not stored in the platform, so they cannot be read or stolen, they only exist in the information systems of the customer's company. It is absolutely safe to trust Yva to “read” the text.
We have developed and patented a two-step procedure for working with text. Thanks to it, we can use already trained classifiers or train new ones even without the text itself.
Praising an employee in a message's informative part is most often aimed at expressing, in an explicit or implicit form, gratitude for a job well done.
Praise is a complex action. It is part of the positive subset and serves as an assessment of achievements, a powerful motivational driver and a feedback form at the same time.
Praise is a marker that reflects respect for the employee's personality and the work done by him, impartiality, lack of arrogance on the management's part. And on the subordinates' part, this is an indicator of the level of work comfort and satisfaction with the company's top management. A praise can be expressed to a group of employees or the whole company. And then it is a significant marker of healthy team environment.
Examples of praise:
We are the best team and our sepulcas will conquer the market!
Jason, you're a great sysop, and a great devops as well.
Thank you for the presentation! Everyone listened with an absorbed attention.
You can receive metrics with praise analysis using our Reports API.
For each block of metrics Yva calculates: