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Interesting points you bring up and Google effectively came to the same conclusion when they were smaller (low hundreds instead of tens of thousands of employee
by sgk284 18y ago
Interesting points you bring up and Google effectively came to the same conclusion when they were smaller (low hundreds instead of tens of thousands of employees). Everything at Google is data driven, including the hiring, but things have changed drastically. Back in the day, Larry and Sergey had a forumla that used the SATs and your graduating GPA. The theory was that your SAT was a measure of your potential, and your GPA was the ability to deliver on that potential. As you can imagine that ultimately ended in failure, but kind of an interesting idea none-the-less.
Since then they've wound up taking a much more Googly approach to hiring, by collecting tons of data from their employees. They effectively gave everyone a survey that attempted to figure out what defined the Google culture and success there-in. By hiring people consistent with this data, the theory is that they can better keep the culture and continue to hire successful engineers. Lots of interesting tidbits came from the study, but the most interesting was that a masters degree will (statistically) always outperform a b.s, but a phd is closer to a 50/50 for outperforming a masters (they attribute this to being too specialized. I forget the phd-to-b.s. probability).
All this is from memory and is a couple of years old, so take it as you may.
- Brushfire 18y agoThis is not a new thing that google invented (although, its possible they did it much better). According to some of the things I've read today, one of the benefits of using intelligence tests is that they tend to be valid across industries and positions, which means that unlike many other forms of hiring selection, you do not need to do an internal HR audit for applicability. This makes them convenient for enterprises of all sizes. However, in the past, and currently for items like psychological / social fit / performance metrics, etc, it was usually necessary for a company to find their good hiring metrics by doing an audit of previous 'successful' vs ' unsuccessful' employees, and compare attributes. The successful employees made up the desirable attributes, as you might expect, and this is what HR looked for. There are many, MANY problems with this way of thinking, but it did work fairly well, I think. This has been done for a long time, and the army started it. It seems likely the one thing google could apply to the process is its significant algorithmic capabilities.