1. You need large samples of hires because you must know what features actually correspond with good performance
2. You need to have a near perfect understanding of statistics
Once Google and friends collected a large enough sample they concluded their puzzles are not a good indicator. Similarly, people tend to have bias towards certain skills without any statistical evidence that they are correlated with performance. And statistics is all about removing the bias, which has proven time and time again is very hard. Otherwise you would be just gambling on instinct, which at best is just a sanity check.
1. You need large samples of hires because you must know what features actually correspond with good performance
2. You need to have a near perfect understanding of statistics
Once Google and friends collected a large enough sample they concluded their puzzles are not a good indicator. Similarly, people tend to have bias towards certain skills without any statistical evidence that they are correlated with performance. And statistics is all about removing the bias, which has proven time and time again is very hard. Otherwise you would be just gambling on instinct, which at best is just a sanity check.