4 ms·
Please don’t implement this in your hiring pipeline. What’s missing from this is an analysis of the candidates that didn’t make it past the screens of these sup
by rahimiali 6y ago
Please don’t implement this in your hiring pipeline. What’s missing from this is an analysis of the candidates that didn’t make it past the screens of these superscreeners. What kind of bias are these superscreeners introducing into the candidate pool? Are they good predictors because they inadvertently exploit a bias in the interviewers?
- bleah1000 6y agoWhile the author didn't put that data in the article, the very last bullet point claimed that this method increased diversity. I would be a bit skeptical of that claim without any evidence, but it doesn't look like they ignored that could be a problem.
- amf12 6y agoAnd also they are optimizing for TP while ignoring the FN. Is it possible that some of the candidates they rejected could have been interviewed by other interviewers and made it to offer stage? It probably doesn't matter to them as long as they get their positions filled, but its prolonging their hiring.