We often bring up the topic ethics when evaluating various strategies for people analytics. My post is focused on pushing the discussion further by raising though questions (such as how much are we willing to sacrifice? and is it worth it?) we as a society have to deal with as we accept people analytics to make better decisions.
By analyzing millions of employee survey responses, Peakon shows that employee engagement starts to drop about 9 months’ before an employee leaves. Peakon’s analysis shows the true power of people analytics: being integrated in internal processes, using data beyond the level of the firm, and resulting in actionable insights. Ad astra!
Workday Skills Cloud uses machine learning to identify core skills for enterprises to pursue and develop. Its use cases and the implications on talent decisions require closer examinations to truly support employee and organizational growth.
In a few of our class sessions this semester, we have asked whether and how people analytics differs across cultural contexts. I have found these questions interesting, so I thought I would dig into some examples from France. I would […]
Humans are notoriously lousy decision makers, especially when it comes to hiring. To help streamline that process, HireVue has introduced algorithmic-based video-assessment to help companies make better hiring decisions. Over 700 companies have adopted this new approach, but is that the right decision?
Social media data is being analyzed to measure employee engagement and to preempt dangerous student behavior. Should it be used to predict mental illness?
This post explores the potential of people analytics in a military environment. Using a study of from USC involving Marines in a training environment, it argues that a focus on quantifiable and objective data is necessary for widespread adoption of analytics in decision making.
As the SARS-CoV-2 pandemic pushes office work to digital platforms, employees are creating more, and more complete, communications data than ever before. Should companies view this as an opportunity to roll out new analytics tools?
Uplevel, a Seattle-based people analytics and productivity startup, emerged from stealth mode in January 2020 and announced a $7.5M seed financing from Madrona Venture Group, Norwest Venture Partners, and Voyager Capital.
Schools in China are monitoring children’s concentration levels using AI – can we imagine similar moves at the workplace?
