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Five hard-learned lessons about talent evaluation from the NFL Draft.
One of the most important concepts in NFL talent strategy is positional value — the recognition that not all roles on a roster carry equal leverage, scarcity, or return on investment. This is a philosophy deeply embedded into how every sophisticated NFL front office operates.
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Why we acquired Traitify — and what it means for where we’re headed.
Skills tell you what someone has done. References tell you how they did it. Assessments tell you who they are. We’ve been building toward this for a long time.
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AI won’t replace recruiters. But recruiters who use AI will replace those who don’t.
One of my favorite things about working in this industry is that every few years, a new technology arrives and the discourse immediately jumps to the most dramatic possible conclusion.
An I/O psychologist explains why quality of hire is the recruiting metric that really matters.
Here’s the definition of quality of hire that we use at Crosschq, and I’d encourage you to adopt something like it: the value employees provide to an organization after they move into a new role within a defined timeframe.
OK, so you're skeptical of using AI for interviews. Let's talk about it.
Recruiting technology has done an incredible job helping teams move faster. Scheduling tools, automation, and AI screening for interviews have reduced manual work and shortened time-to-hire.
Our AI interviewer transforms one of the most painful parts of hiring into an easy win.
Our AI Interviewer automates the phone screening process in a way that’s purely additive. It delivers consistent, informative, personalized interviews at scale, for every candidate, for any type of role.
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Quality of hire, quantified — how to define and measure a historically complex metric.
We partnered with leading industrial-organizational psychologists to answer a deceptively simple question: Can quality of hire be defined, measured at scale, and shown to matter to the business?
Why AI Interview Tools Fail to Accurately Assess Candidates: The $300 Million Problem Costing Companies Top Talent
Before diving into specific failure modes, it's crucial to understand how widespread AI assessment errors have become and why companies continue using flawed technology despite mounting evidence of its limitations.
