Shaker Virtual Job Tryout Uses Analytics and Predictive Modeling for Hiring
Friday, April 22, 2016
Shaker’s Virtual Job Tryout technology uses predictive modeling to anticipate job performance and enables companies to see potential employees in action by engaging them in simulated on-the-job scenarios, offering a test drive of key tasks and more.
Shaker’s predictive modeling provides an analytic method that documents the relationship among the variables a company measures in a candidate and the variables the company collects about their contribution and on-the-job behaviors.
The technology provides candidates a realistic job preview to better evaluate fit, providing data that optimizes the recruiting process, saving time, reducing costs, and improving quality of hire. Virtual Job Tryout technology is used to formulate typical job scenarios, providing candidates opportunities to solve problems and perform actual work tasks they would be likely to encounter – all to predict on-the-job performance based on behaviors and metrics.
Virtual Job Tryout technology integrates with many applicant tracking systems, including Oracle/Taleo, IBM/KBR, iCIMS, Workday, ADP/VirtualEdge, PayChex/MyStaffingPro, PeopleFluent, and PeopleSoft/eRecruit.
Read more: http://www.shakercg.com/
Using GitHub in the classroom helps developers feel more included Friday, August 17, 2018
AI social network Hibe launches using Oracle Cloud Friday, August 17, 2018
Mobile publisher Gismart teams up with Appodeal Friday, August 17, 2018
Mobile game developers get another playable ads platform choice Thursday, August 16, 2018
Mobile game developer help is coming to Barcelona Thursday, August 16, 2018
Stay UpdatedSign up for our newsletter for the headlines delivered to you