Is there any type of analysis done on how effective each interviewer is at gauging a good candidate? How effective a particular question is? Or even how effective each type of interview is (behavioral, algorithms, practical, systems design, etc)?
For example, let's say a previous candidate that was brought in as an L4, rose to L6 extremely quickly while constantly getting great performance reviews - maybe you could look back at the type of questions asked, and the type of feedback that candidate received.
Additionally, let's say a previous candidate ended up being a non-performer and was quickly let go, you could also look back at their initial interview.
Maybe everything could be fed into ML, and once you have a model in place you can start getting signals based off a candidate's replies to behavioral interview questions, or certain characteristics displayed during their systems design interview, etc.
For example, let's say a previous candidate that was brought in as an L4, rose to L6 extremely quickly while constantly getting great performance reviews - maybe you could look back at the type of questions asked, and the type of feedback that candidate received.
Additionally, let's say a previous candidate ended up being a non-performer and was quickly let go, you could also look back at their initial interview.
Maybe everything could be fed into ML, and once you have a model in place you can start getting signals based off a candidate's replies to behavioral interview questions, or certain characteristics displayed during their systems design interview, etc.