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.
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 identify top candidates to streamline your process. Our machine-learning process identifies predictive features within the data to better inform your selection decisions.
Directly link candidate application data to expected outcomes using historical trends.
Our process identifies predictive features within structured and unstructured data to guide selection decisions.
Set thresholds to automatically move candidates to the next stage based on scores.
Advanced machine learning creates sophisticated algorithms to predict which candidates are likely to stay in the role.
Every algorithm is customized for each client, role, and desired outcome to reduce turnover.
Our solution makes selection fast and improves retention.
Eliminate candidate burden as screening is instantaneous and uses only standard application data.
Source: SHL and Gartner research.