The Real Cost of Hiring on Gut Instinct | HireScore CEO Spencer Stang Explains | WRKdefined Podcast Network: Conversations Pushing The Boundaries of Work

Most hiring teams still trust instinct over data. That works great until the “perfect” candidate flames out in 90 days. Spencer built a system that calls that bluff and replaces hiring bias with measurable outcomes.

Hiring is still full of guesswork, résumé theater, and recruiter roulette. Spencer explains why companies keep making expensive hiring mistakes and how industrial psychology, assessments, and real-world data can dramatically improve quality of hire without wrecking candidate experience.

In this episode… We unpack hiring science, candidate drop-off, assessment accuracy, safety-risk recruiting, and why most companies optimize for speed instead of fit. Spencer breaks down how HireScore combines ATS workflows, behavioral data, cognitive testing, and performance tracking into one system built to reduce bad hires.

Key Takeaways :

A bad hire can cost anywhere from 25% of first-year salary to 4x total compensation
Some safety-sensitive workers are 10–20x more likely to cause workplace incidents based on behavioral risk scoring
Most hiring managers still override assessment data because they “like” the candidate
Companies often ask for the wrong fix. They ask for more applicants when the real problem is poor selection
Removing account creation early in the apply flow dramatically reduces candidate drop-off
Asking for a Social Security number too early caused massive applicant abandonment
Structured interviews statistically outperform gut-feel hiring by a wide margin
HireScore tracks outcomes 1, 3, 5, and even 7 years after hire for continuous validation
Candidates who look strong verbally can still fail badly in logic and decision-making roles
Work simulations and hands-on testing outperform résumé screening for many operational jobs
Spencer’s team has spent 10+ years validating hiring outcomes against real employee performance
“Good enough” hiring becomes dangerous in refinery, mining, and industrial environments where mistakes can kill people