Background and Business Problems

The proliferation of online job boards and ease of submitting applications online, coupled with the ubiquitous expansion of the applicant funnel to increase Diversity, Equity & Inclusion (DE&I), and rise in unemployment has increased the volume of applicants for many job openings to unmanageable levels.

Many companies see anywhere from 100 – 1,000 applicants applying for a single job vacancy but still follow the traditional process for screening applicants by matching resumes to job descriptions.

This resume-based screening approach can create enormous amounts of non-productive time, legal vulnerability, increase in costs, tension with hiring managers, and produce poor outcomes such as making regretful and expensive hires and missing top talent.

Enter SmartRank

SmartRank’s approach to screening completely replaces the job description and resume with a truly objective and inclusive ranking system. By removing the resume, SmartRank effectively removes the unconscious bias that is typically generated by it. SmartRank also incorporates ratings into the pre-screening process with its novel colleague rating feature.

Additional innovative tools help bridge the gap between talent acquisition teams and hiring managers. By bolstering the communication and engagement with hiring managers, talent acquisition teams can make better and faster decisions on top talent.

SmartRank then combines human intelligence and Machine Learning (ML) to weight selected data so that applicant scores correlate to attrition and performance data. This continuous feedback loop helps humans to create increasingly high-signal inputs that can better prevent regretful hires and predict top talent in the future.