Improve Retention via Frictionless Experience
Create a frictionless candidate experience and inform selection decisions by leveraging candidate application data to predict retention in high volume job roles. Algorithms created specifically from your historical job application and employment history data predict which candidates are most likely to stay and perform.
Though application volumes have increased, 65% of applications do not meet basic requirements.
Unlock Insights from Candidate Data You Already Hold
Application Analytics offers résumé-based predictive analytics to provide leaders with company-specific recruiting insights and superior selection criteria. Our résumé analytics technology quickly identifies top candidates based on key features associated with high performers within a specific company and role. Our machine-learning process identifies predictive features within data to inform your selection decisions.
Source: SHL and Gartner research.