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.
One of the most common strategies for reducing turnover has been to invest in employee engagement initiatives. These efforts take many forms (engagement surveys, manager trainings, expensive company perks, etc.).
In an ever more competitive economy, hiring the right person for the right job has never been more critical. With more millennials entering the workforce each year, companies are finding that turnover costs hinder their ability to scale and thrive. Various strategies have been employed to reduce turnover in almost every industry. Most have yielded only modest results despite significant investment.
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...
Having the wrong person in the wrong job is bad news for anyone. Poor job fit leads to employee dissatisfaction and under performance, while companies foot the bill to hire and train these employees who don't contribute or even detract from company success.
We believe that everyone has potential to do great things, but that potential can only be realized when a person's unique strengths and abilities are a match with his or her job.
We're on a mission to help companies get the "right people" into the "right jobs" better than ever before. By utilizing the latest advances in predictive analytics, psychometric assessments, and machine learning algorithms, we can improve the accuracy of hiring and get more people in jobs where they will thrive. Join us as we discuss tools, tips, and techniques for using your company's data to improve your hiring outcomes.
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