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is a platform where people can practice technical interviewing anonymously and, in the process, find jobs based on their interview performance rather than their resumes.
Since we started, we’ve amassed data from thousands of technical interviews, and in this blog, we routinely share some of the surprising stuff we’ve learned.
In this post, I’ll talk about what happened when we built real-time voice masking to investigate the magnitude of bias against women in technical interviews.
We also ask about a few different aspects of interview performance using a 1-4 scale.On our platform, a score of 3 or above is generally considered good. At that time, we had amassed over a thousand interviews with enough data to do some comparisons and were surprised to discover that women really were doing worse.Specifically, men were getting advanced to the next round 1.4 times more often than women.Interviewee technical score wasn’t faring that well either — men on the platform had an average technical score of 3 out of 4, as compared to a 2.5 out of 4 for women.Despite these numbers, it was really difficult for me to believe that women were just somehow worse at computers, so when some of our customers asked us to build voice masking to see if that would make a difference in the conversion rates of female candidates, we didn’t need much convincing.