CloudCords ETA’s predictive assessment solution reduces overall recruiting costs by screening out less qualified candidates and retaining top candidates who are predisposed to become long term, successful members of your team. By applying applicant screening at the very top of the recruiting funnel, your recruiters can identify top talent faster and work with the very best candidates.
Unlike one-size-fits-all personality profiling or subjective pre-employment assessment tests, CloudCords ETA utilizes a proven, fact-based predictive analytics solution that dramatically improves your recruiters’ ability to identify the candidates who are most likely to succeed.
CloudCords ETA predictive assessment models are specifically designed, rigorously tested, and proven to provide predictive “lift” over current talent acquisition practices for high turnover positions in high volume recruiting applications – for example, tellers in retail banking, call center agents and other entry level positions.
CloudCords ETA assessment models take into account exhaustive lists of job competencies, past experience, education and achievements that are suspected to be drivers of performance. The models utilize surveys of current top performing employees to statistically validate the true drivers of performance for that position. The data collected through the surveys are analyzed to generate a predictive model of performance. Questions about factors that cannot be linked to performance are eliminated, providing an accurate, consistent, and effective survey for future applicants. CloudCords will work with your firm to ensure that all assessments are properly validated for use in your organization.
For each applicant, the predictive assessment model evaluates all data collected during the assessment . The following tasks are performed in real time and in a consistent manner for every applicant:
Learn how CloudCords ETA's breakthrough predictive recruiting assessment solution can help your organization increase quality of hires and recruiting speed.
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