AI Technology in Talent Acquisition: The Need for a Feedback Mechanism
Is AI delivering the best choice candidates? Is applicant overload reducing quality of hire? AI Technology in Talent Acquisition: The Need for a Feedback Mechanism provides an overview of the forces driving AI adoption for hiring, its uses and the potential downside of AI use without formal feedback mechanisms.
This White Paper outlines a basic frame work for a feedback driven, human assisted AI model than can:
-
Optimize AI Processes
-
Increase Candidate Quality
-
Improve Quality of Hire
Download White Paper
Client Quotes
"With Survale, we are two years into our data collection, and we are still working through operationalizing all the insights we continue to uncover."
“Instead of going to Glassdoor to share their experience, we want candidates to share that feedback directly with us.”
"Because we can go back and have communication with all involved parties in real time, we are affecting hiring outcomes daily."
"I can run a bottleneck report in my ATS, but having a candidate tell me specifically why was much more helpful.”
“I can take action on a weekly basis as opposed to hearing a candidate had a horrible experience six months after the fact when we can do nothing about it.”