Turning Flight Risk into Opportunity
How Credit Suisse is using analytics to identify who might quit..
How Credit Suisse is using analytics to identify who might quit..
Despite having an alleged gender-neutral algorithm, male Uber drivers earn 7% more than female drivers. Should Uber act to correct this gender pay gap?
In this post, I share my thoughts on the article, “Employee mood measurement trends” by Tom Haak, which amongst other things, describes three main means of measuring employee mood: traditional surveys, simple daily feedback tools, and passive data mining of employee online communications (emails, Slack, Yammer etc.).
I share my assessment of each method. Furthermore, I discuss why passive communications mining is likely to generate data that is unrepresentative of employee mood. Instead, it is more suited for analyzing supervisor effectiveness, which is a leading indicator and arguably the most important determinant of employee mood (the symptom).
Finally, I opine that analyzing supervisor effectiveness through communications data mining could be combined with traditional employee mood surveys to generate actionable insights to improve overall employee performance.
The DoD investigates uses for data/workforce analytics to improve training efficiency and enhance force readiness.
Is AI the future for hiring and people management? Can people see the value in substituting human beings making hiring decisions and rely on what a machine tells them? Pymetrics certainly believes so!
A technology for informing COVID-19 contraction could capture offline interpersonal activities for better people analytics, I hope.
Looking at what can be learned by the repeated failure to move conferences from in-person to virtual.
In 2018, Amazon filed patents for wristbands that would track the location and hand movements of employees in their warehouses. Has the pursuit for efficiency come at too high a cost?
Humu has had great success encouraging micro-learning in the workplace. Can this extend to Higher Education?
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.