(This is the third of a three-part series on the development and refinement of the Bright Score, an algorithm that quickly and efficiently matches resumes to job openings. Read Part 1 here or Part 2 here.)
After incorporating the results of our second HIRES survey, the Bright Score algorithm now replicates the type of resume-to-job-description evaluations that the study reviewers made whenever a resume or job description is uploaded to our database. Every time a Bright.com user uploads a resume or enters his/her resume data to create a profile, the algorithm evaluates the resume and the candidate’s publicly available social media information against the job descriptions in the Bright.com database (as of September 2013, there were 3,301,542 unique job openings in the Bright.com database). This happens automatically when the user enters or uploads this data. The user then receives a list of the job openings to which he/she is most closely matched and sees the Bright Score for each. The mirror-image process happens when a talent professional uploads a job description — the Bright Score automatically generates a list of resumes in the database with the highest scores for that job opening.
On average, it takes our algorithm 2.3 seconds to evaluate a candidate’s information and deliver these scores.
Figure 5a: Recruiter Evaluation Time vs. Bright Score Calculation
Thus, the Bright Score algorithm evaluates a resume against job descriptions more than 2.5 times as fast as does the average recruiter. And again, this is not an apples-to-apples to comparison, because the average recruiter looks at only six data points in the six seconds in which they review the average resume. In 2.3 seconds, the Bright Score evaluates 77 data points against a job description and calculates a fit based on data generated by our study evaluators, who looked at resumes against job descriptions for an average of 164 seconds.
What this means, in essence, is that the Bright Score evaluates the average resume 27 times more thoroughly than does the average recruiter, and in less than half the time.
Figure 5b: Comparison of Average Resume Evaluation Times
At Bright, we love the speed and availability that the Internet has brought to the job application process. Our goal is to combine those benefits with the level of consideration — from both the people looking for a job and the people looking to hire them — that comes with a more focused approach. We will continue to develop and refine the Bright Score to make it the most efficient and effective way to find the right professional match.