It’s been called the #1 mistake in recruiting: the failure to mine your existing resume database to find candidates for open roles.
This is why candidate discovery, the ability to automatically screen previous candidates in your ATS and match them to a current open req, is one of the most intriguing new functions in recruiting.
Companies collect thousands – or even millions – of resumes over the years. But once these resumes go into your ATS, the majority of them are never looked at again. This is because ATSs weren’t originally designed to have this type of function. Although most ATSs allow you to use keywords and Boolean searches, they have two major limitations:
False positives: finding candidates who are not actually the most qualified ones due to resume keyword stuffing
False negatives: ignoring candidates who are qualified due to overly specific (or inaccurate) keywords and searches
Candidate discovery is different because it uses AI to find previous candidates in your ATS using in 4 steps:
Step 1: Integrates into your existing ATS to add a layer of intelligent sourcing functionality.