Research Report Investigates Worst & Best Practices in Talent Acquisition

SARATOGA SPRINGS, N.Y. – June 04, 2013 –, Inc., the leading provider of cloud-based Predictive Talent Selection(TM) solutions, today released a report investigating many common talent acquisition strategies that undermine long-term organizational performance and the best talent selection practices to avoid these pitfalls. In five definitive sections “A Guide to Talent Selection in the Modern World: Mistakes to Avoid and Practices That Accelerate Performance” examines the frequently dissociative state of talent selection and offers alternative activities – including incorporating behavioral science, automating processes, developing feedback loops and other best practices – for improved hiring success.

“A key ingredient in [creating human capital assets] rests in an organization’s ability to create a structure that incrementally predicts the likelihood that a new hire will be successful,” researchers state. After clearly identifying the three root causes of inadequate selection, the white paper details how hiring changes that enhanced predictability at firms including Learning Care Group, Aspen Dental and Asurea positively impacted such business objectives as reduced time to hire and improved quality and productivity. The report also makes the case for other potential benefits of improved hiring including increased employee retention and performance.

“Drawing on years of internal talent selection experience, comprehensive research by our in-house industry experts and client implementation successes, this report clearly delineates how revolutionary predictive technology is for modern-day human capital management,” says CEO Greg Moran, “Companies looking to sustain their competitive advantage simply cannot overlook the science of predictability anymore.”

This document is a must read for anyone seeking a better understanding of effective talent acquisition tactics, including how incremental predictability in talent selection will improve performance prediction and, subsequently, quality of hire. To obtain a copy of “A Guide to Talent Selection in the Modern World,” click here.

About delivers a comprehensive suite of cloud-based talent selection solutions engineered to predict a new hire’s future performance. Based in Saratoga Springs, NY,’s Predictive Talent SelectionTM Suite, which is delivered globally, includes: ChequedFitTM, a pre-employment testing and assessment technology, and ChequedReferenceTM, a predictive, online automated reference checking technology. In partnership with the University at Albany, works with organizations to implement best practices in talent selection, which are scientifically proven to reduce cost per hire, increase quality of hire and improve organizational productivity. For more information, visit