Research shows the average cost of hiring the wrong employee is $17,000 (CareerBuilder)—and that doesn’t include the hidden costs like burnout and team turnover.
So why does mis-hiring happen so often?
Because many hiring decisions rely on gut instinct, résumés, or “culture fit” interviews that barely scratch the surface of what actually drives success in a role.
That’s where behavioral science and talent data come in.
When companies use validated behavioral assessments and role-based data to inform hiring decisions, they shift from guesswork to predictive hiring. It’s no longer about whether someone seems like a good fit—it’s about whether they are wired to succeed in that specific role, on that specific team, in that specific environment.
Using science-backed insights, leaders can:
• Predict how a candidate will behave under pressure
• Match strengths to the actual demands of the job
• Avoid costly mismatches between personality and performance
Bottom line: The right data leads to the right people in the right roles—which leads to less turnover, more engagement, and better results.
COACHING QUESTION:
What types of data are you using in your hiring process to assess whether a candidate will thrive in your team culture—not just survive?
We can help take the guesswork out of hiring!
Crystal balls don’t exist. But PI Hire does.
