HireIQ helps companies to screen applicants for low-qualification, high-volume positions in call centers

HireIQ helps companies to screen applicants for low-qualification, high-volume positions in call centers. Our customers frequently experience 10% turnover _a month_ and spend $5000/person to replace each employee that turns over. We are developing a novel approach to selecting candidates by extracting emotional content from recorded phone screens and matching outcome data for those candidate who were hired to feed a continuous Machine Learning loop. I will discuss our production environment, early results and the business impacts that we are able to achieve by switching from a traditional statistical modeling shop to a Machine Learning approach.