Hiring takes precious time and resources: Most companies spend an average of 42 days filling a position and another 90 days to onboard. When all is said and done, it can take up to 12 months for new hires to reach their full performance potential, even when given the most thorough training — so it’s no surprise many companies are on a constant quest to hire faster.
If 80% of turnover can be attributed to bad hiring decisions, it's apparent that incorporating retention-related criteria into your hiring process is the way to truly mitigate turnover. But it can be hard to determine how much of your hiring process should focus on turnover.
The technology giant, Google, is known for hiring the best talent in the market and equally known for their wacky interview questions. For years, Google interviewers used these seemingly random questions to "help" them hire great talent. Turns out though, these questions didn't help at all.
“We found that brainteasers are a complete waste of time,” Laszlo Bock, senior vice president of people operations at Google, told the New York Times. “They don’t predict anything. They serve primarily to make the interviewer feel smart.”
Every company has and uses a predictive hiring system—whether they know it or not. Let's elaborate on a concrete definition of what a predictive hiring system is...
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