The appliance of science to predict top talent

US-based software developer Chequed.com is introducing a tool that aims to improve the quality of hires and predict top performers by building data and analytics into every step of the recruitment process.
May 2013 | By Sue Weekes

US-based software developer Chequed.com is introducing a tool that aims to improve the quality of hires and predict top performers by building data and analytics into every step of the recruitment process. 

Chairman and chief executive officer of Chequed.com, Greg Moran, told Recruiter that failing to collect the data necessary to predict what types of competencies they need is one of the biggest challenges recruiters face when trying to hire top talent. 

“This is because of inadequate job definition and over-reliance on the CV during the selection process,” he explained. “As a result, recruiters and hiring managers then focus most on a candidate’s past accomplishments as opposed to evaluating criteria relative to the job profile and data that incrementally predicts that a candidate is likely to be a high performer.”

Based on Chequed.com’s proprietary assessment science and selection technology, the cloud-based Predictive Talent Selection Suite integrates competency-based data into a recruiter’s workflow. Put simply, it achieves this by linking each step of the process, from sourcing through to assessment, interview, verification and onboarding, directly back to a particular competency map or job profile. The five components of the system are ChequedProfile, ChequedFit, ChequedInterview, ChequedReference and ChequedAnalytics and they can be used independently or collectively. 

Chequed.com’s recruitment tools can be integrated with numerous applicant tracking systems and also work with the Take the Interview video interview technology.

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