WAYNE, Penn., March 5, 2015 — Employers interested in learning how to make better talent acquisition decisions and improve the performance of their new hires should plan to attend “The New Hiring Journey: How a More Strategic Approach Can Reduce the Guessing Games with Your Next Hire,” a complimentary webinar that will be hosted by SkillSurvey(R), Inc. on March 19 at 2 p.m. EST (11 a.m. PST).
“The simple fact is candidates give employers a biased tour of themselves throughout the hiring process,” said Jack Kramer, SkillSurvey Executive Vice President, who will lead the webinar. “This can leave employers guessing when they make hiring decisions–and they’re often wrong. This webinar will show that employers can take a better path, one that will allow them to hire with more confidence and with better results. They simply need to use a smarter process that helps identify how well a candidate is likely to perform.”
Attendees also will learn:
– How to get more critical insights about candidates earlier in the hiring process
– How a strategic approach to reference assessments — especially in comparison to traditional reference checking — can deliver more predictive data to help make better hiring decisions
– How to be a better consultant to hiring managers by providing valuable insights and tools for interviews and decision-making
All registrants will receive the eBook “The New Hiring Journey,” which illustrates how companies can make their hiring process work for them once again. Register for the webinar at: https://attendee.gotowebinar.com/register/7384067568953828098
“The last thing you want is for your hiring process to take you for a ride,” added Kramer. “You will lose the war for talent to your competitors. To have a more successful hiring journey–and to acquire top talent that will perform–you need critical insights and data that help you and your hiring managers make better talent acquisition decisions.”
Kramer is an expert at helping HR leaders leverage data-driven analytics to predict performance and retention for each candidate they hire, while SkillSurvey helps organizations of all types and sizes harness the power of data to help them source, recruit and hire new talent. Outcomes of the company’s scientific work have been published in the peer-reviewed “International Journal of Selection and Assessment.”
About SkillSurvey(R), Inc.
SkillSurvey harnesses the power of data to help companies source, recruit and hire the talent that drives their businesses forward. Our solutions address critical points in the talent lifecycle to help talent management professionals contribute to their organizations business results by obtaining and applying more trustworthy data and insight to transform the talent lifecycle from an inefficient process into a streamlined, high-confidence workflow. The company’s flagship product, Pre-Hire 360(R), is an award-winning, patented technology solution that utilizes a unique combination of behavioral science, talent analytics, and data-driven benchmarking. SkillSurvey’s Pre-Hire 360 reference assessment is scientifically proven to drive better hiring decisions and generate predictive candidate insight based upon feedback provided by references on a candidate’s past job performance.
The company also offers an extension of Pre-Hire 360 in the form of a passive sourcing solution, The Q(R), and recently launched Credential 360TM, a new solution that helps hospitals and healthcare organizations improve patient care outcomes by expediting the professional credential verification process. SkillSurvey’s cloud-based software products are being used by 1,400 companies, institutions and organizations. Visit SkillSurvey at www.skillsurvey.com, and on Facebook, LinkedIn and Twitter.
SkillSurvey(R), Pre-Hire 360(R) and The Q(R) are registered trademarks and Credential 360TM is a trademark of SkillSurvey Inc. or its affiliates and are registered in the U.S. and other countries. (C) 2015 SkillSurvey Inc. and its affiliates.
Media contact:
Joseph Germani
Sloane & Company
(212) 446-1899
jgermani(at)sloanepr(dot)com