The New Professional Learning Indicator (PLI)Transforms the Workplace Analytics
WELLESLEY, MA: Predictive Index (PI), a company providing workplace analytics announced the addition of PI Learning Indicator, formerly called The Professional Learning Indicator (PLI) to its suite of products. The company acquired PLI from Morten Lokkegaard, Principal Owner of PLI and Managing Partner of Humanostics, which is a Denmark-based management consulting firm and a Predictive Index Certified Partner. They have so far assisted firms and organizations in obtaining-measurable results by focusing on their prime resource, which is ‘people’.
This scientifically validated cognitive ability assessment measures an individual’s capacity to learn, adapt, and get acquainted with new concepts at the workplace. PLI when combined with Predictive Index’s flagship Behavioral Assessment, significantly enhances the ability to predict on-the-job performance. "Our clients have had amazing success leveraging both behavioral and cognitive assessments to ensure the most efficient and effective candidate selection, hiring, and on-boarding process," said Lokkegaard.
The Predictive Index Learning Indicator is being completely integrated into the company’s workforce assessment platform and will be marketed as a part of Predictive Index’s suite of workforce assessments and management training workshops. It was orchestrated based on strict standards of test construction set by professional organizations, viz. American Psychological Association (APA), Society for Industrial and Organizational Psychology (SIOP), and the International Test Commission (ITC). PLI aims at providing scientifically validated measurements of general mental ability.
"General cognitive ability assessments like the PI Learning Indicator are among the best predictors of training success and job performance across all job levels and industries," said Mike Zani, CEO, Predictive Index. "Several studies show that when you assess a candidate's behavioral make-up and cognitive ability, you are many times more likely to be able to predict if they will meet or exceed job performance expectations.”