FEATURE : ARTIFICIAL INTELLIGENCE
retention , and forecast talent supply and demand . Still , the quantitative data source when it comes to the sentiment and wellbeing of employees remains survey data . Erudit goes a step further and uses organic , realtime communications data as its data source and has AI technology at the core and center of the solution . to anonymously detect and measure levels of engagement , burnout risk , and turnover risk from text and messages . But the platform has now expanded to incorporate levels of job satisfaction and other dimensions of work culture . Monthly reports with trends and workforce profiles have also been added in 2022 .
“ Erudit ’ s AI sifts through textual communications data to serve you actionable people metrics , analytics and insights . For example , you ’ ll get each team ’ s daily engagement levels and burnout risk . Every month , you ’ ll get a report that helps you understand the needs of every department and how they are doing . Plus , you get to dig into the reasons why ,” Agenjo explained .
“ All the people analytics are anonymized by the AI so you can make unbiased decisions based on organic , instead of survey data . So managers never see messages or names , they only see the insights that will help them improve their management style and better support their team members ,” he added .
An AI trained by psychologists
The AI was initially trained by psychologists , data scientists and Machine Learning engineers
“ Our AI team in particular is a mix of engineers and psychologists who are based in Europe , led by Ricardo Michel Reyes and Alexandre Denis . My co-founder Rick is only 28-years-old but is a brilliant AI developer . Alexandre also has a wealth of experience , with over 50 papers on NLP applied to understanding human behavior ,” said Agenjo , “ Our AI team gives us a lot of confidence in the technology and their skill sets .”
Harnessing real-time , organic data to understand dynamic teams
HR leaders and employees are realizing the advantages of using real-time data , instead of relying on survey data that represents a snapshot in time . Real-time data can help us understand how a team functions , and how it could work more effectively . Real-time data on employee collaboration can help us understand how a team communicates , who
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