The biggest myth in hiring
We like to believe that hiring is a supply problem.“We just need more candidates.”So we build larger funnels. We scrape more profiles. We optimize response rates. The right candidates are often already in your pipeline. They’ve applied. They’ve been sourced. They’ve even been reviewed. And still, they get passed over.
Why great candidates get missed
Think about the last VP-level hire you actually closed. Odds are, the person didn’t come from the top of any search result. Their LinkedIn probably looked ordinary: “Director of Engineering at some Series B SaaS.” What made you pause was likely a pattern only you would spot: three roles in a row taking on bigger scope, a company choice that signaled real judgment, a short stint at a no-name startup that most filters would flag as a red flag but actually meant ownership. Keyword search doesn’t catch that. Filters don’t either. But you picked up on it within ninety seconds of reading the profile, because you’ve seen that shape before. That’s the gap. It’s not random. It’s not “human error.” It’s a signal problem. Recruiters don’t evaluate candidates purely on keywords or resumes. They rely on pattern recognition built from past hires, contextual intuition about what “good” actually looks like for a specific team. These signals are invisible to most systems. So we end up building tools that optimize for what’s easy to measure, not what actually matters.Efficiency doesn’t fix misjudgment
Most hiring tools today promise the same thing:“We help you move faster.”But speed doesn’t solve the real issue. If your judgment is off, moving faster just means you reject the right candidates more efficiently. That’s not a hiring problem solved. That’s a hiring problem scaled.