Predictive Hiring Solutions Remove Bias in Hiring

Let's not twist the facts. People are, by nature, biased. Even people who say, "I'm not biased," can be biased. This is perfectly natural because our experiences instinctively shape our viewpoints depending upon what we have experienced (in the past) and will unconsciously shape our opinions (in the future). Unconscious biases, therefore, work on people much like gravity: you can't see it, but that doesn't mean it's not working.

Biases in hiring have been, not surprisingly, tested with studies proving that many biases creep into unstructured hiring processes and interviews. These studies included situations where bias tends to take place, such as whether or not a woman wears a headscarf to an interview, or whether the names of candidates are rejected before considering resume qualifications (see this case study called: "Are Emily and Greg more employable than Lakisha and Jamal: A Field Experiment on Labor Market Discrimination"). These studies show that biases such as ageism, sexism, racism, religious favoritism, and even "nameism" exist in the workplace. Outside of stereotypical biases, other biases are also unconsciously at work. For example:

• People tend to hire people similar to themselves. The Similarity-Attraction Effect says that people are more positive about people when they share a familiarity of some sort. Conversely, people feel more negatively about a dissimilar person, regardless of qualifications.
• People are suspicious of anyone they perceive may threaten their workplace status, such as a "fear of hiring your replacement" and neglecting to properly train or a "fear that someone is more qualified" and thus purposely hiring for incompetence.

Therefore, it should be the obligation of every business owner and stakeholder to reduce unconscious bias during the hiring process. In a perfect world, everyone would be evaluated solely for their professional qualifications. Yet, we know prejudice exists and this causes us to "pre-judge." There are a few ways to combat bias in hiring:

Change the way you make hiring decisions

Relying on outdated methods such as the typical resume review, traditional interviews, and gut instinct to make your hiring decisions can limit your success. To reduce bias, increase the quality of talent acquisition, and create an inclusionary corporate culture, attract and retain top talent by changing how you make decisions. Although it's impossible to eliminate hiring bias entirely, changing how you make decisions by replacing gut instincts with predictive analytics may help you discover a new driver of increased profits.

Use predictive analytics as a basis for your hiring decisions

Predictive analytics, including the results of behavior-based assessments and best practice Performance Benchmarks, level the playing field through objective behavioral data and predictive algorithms. Like PeopleKeys' DISC style report, assessments can predict which candidates will most likely excel based on behavioral benchmarks from top performers in that role.

DISC assessments are blind to demographics such as name, age, race, and religious affiliation, concentrating on only observable behavioral data such as:

• How likely a person will perform in a given role
• How likely a person will be fulfilled and satisfied by the nature of their work

Other variables, such as skills, education, and experience, should also be considered. All things being equal, the behavioral and cultural fit of the candidate should be used for hiring decisions.