Can an Algorithm Beat the Experts at Hiring?

Harrison Assessment's Take on How Data beats Intuition

By Kevin Tan, International Sales Director, Harrison Assessments

“When we make selection decisions – whether it is choosing a date, a potential business partner or a job candidate – we try our best to make accurate judgments about the potential of the people we are considering. These decisions, after all, have long-term consequences. A first date could turn into a long-lasting romantic relationship; a potential business partner could be a lifelong colleague; a job candidate could be someone we work with for years to come.

Yet, too often, we find ourselves asking, “What went wrong?” We may have spent a lot of time with the person and conducted multiple interviews and assessments to then realize, a few months later, that the person we chose is just not right. This is no rare event. For instance, data shows that traditional hiring methods produce candidates that meet or exceed the expectations of the hiring manager only 56 percent of the time — about the same result one would get tossing a coin.”

The Scientific American article: How Data Beats Intuition at Making Selection Decisions

This is a very good article and true according to HAI’s experience and research. The biggest reason that data works better is that there are many factors that relate to job success.

Each of these factors should be systematically weighted and scored. Job interviewers don’t tend to systematically analyze the job and formulate the key factors. In addition, interviewers don’t have a strategic and effective means to measure the factors. Consequently, their subjective judgments will be less effective.

You can see the importance of job analysis by looking at the difference between structured interviews and unstructured interviews. Structured interviews have been proven in nearly every study to be far more effective. The difference is that someone took the time to consider what was important related to the job and base the interview around those factors. This greatly improves the results.

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