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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.
What NFL Quarterbacks Teach Us About Predicting Quality of Hire
Discover how college efficiency metrics predict early NFL quarterback performance—and how the same data principles strengthen Quality of Hire decisions.
Lying About Job Experience: How to Detect and Prevent Resume Fraud in Your Hiring Process
Before diving into detection strategies, it's crucial to understand what you're up against. The numbers paint a sobering picture of how widespread lying about job experience has become.
Prompt Engineer Interview Questions
Prompt Engineers are the craftspeople who unlock the full potential of large language models by designing, testing, and optimizing prompts that produce reliable, high-quality outputs at scale.
