Tired of the "guessing game" that comes with traditional hiring?. We’ve all been there - you meet a candidate who looks perfect on paper, nails the interview with a sharp suit and a great smile (hello, Halo Effect!), but then struggles to perform two months in.

In this episode, Ken Eslick and Onika Kwatsha dive deep into how to move past surface-level impressions by using advanced behavioral assessments - like DISC, Motivators, and Cognitive insights - to map a candidate's natural "wiring" directly to your job description. Learn how to use AI to digest massive 80-page reports into actionable blueprints that reveal exactly where a candidate will thrive and where they’ll need to stretch.

In this episode, we discuss:

• Why "gut feel" isn't enough and how to combat hiring biases.
• The difference between a developed skillset and a natural behavioral trait (and why it matters for long-term happiness).
• How to turn assessment "gaps" into surgical, targeted interview questions.
• Why a 91% match is often the highest score you'll ever see.
• Ken’s personal "radical self-awareness" moment regarding his own DISC profile.

• [00:00:29] – Building on Team Compass: Moving from team mapping to individual job fit.
• [00:03:00] – The "Halo Effect": How biases regarding appearance and resumes lead to bad hires.
• [00:04:57] – Using AI as a Tool: How to digest 80-page reports without losing the "human connection".
• [00:06:40] – The Hunter Profile: Why your best salesperson might be terrible at paperwork (and how to interview for it).
• [00:09:50] – Scoring Job Fit: What a score in the 70s vs. the 50s actually tells you.
• [00:17:35] – The Risk of Mismatch: Why a "skillful" candidate might still go "crazy" in the wrong role.
• [00:20:30] – The Win-Win-Win: Why recruitment should be about more than just sending a CV.

LinkedIn: https://www.linkedin.com/in/keneslick/

The Leaders Lab by Ken Eslick: https://www.theleaderslab.co/

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#Hiring #BehavioralAssessments #DISC #Leadership #Recruitment #AIinHiring #TheLeadersLab #SelfAwareness