WorkGlide blog
Hiring, minus the busywork
Playbooks, product deep-dives and data on AI screening, automation and faster time-to-hire.
AI Hiring Fraud Is Widespread, but Most Companies Aren't Ready
There's a number every HR leader should sit with for a moment: the vast majority of recruiters and hiring managers have already spotted or suspected candidates manipulating AI screening tools. And yet less than a third of CHROs say they have strong controls in place to catch it. That gap, between how widespread the problem already is and how prepared organizations are to deal with it, is the real crisis. Not the fraud itself, but the blind spot around it.
Two-Sided Trust Collapse: How AI Screening Is Failing Both Recruiters and Candidates
Hiring used to run on a simple, if imperfect, contract. Candidates presented their best selves. Recruiters evaluated honestly, sometimes imperfectly, but in good faith. Both sides trusted that the process, however slow or flawed, was at least real. That contract is breaking down, and AI screening is caught in the middle of it.
Candidates Don't Leave Because of Money. They Leave Because of Silence
A qualified candidate just went cold on your pipeline. Not because of a bigger competing offer. Not because they lost interest in the role. In a surprising number of cases, they disengaged because they didn't know what was happening, and nobody told them.
Your Hiring Process Isn't Broken in One Place. It's Broken in Twenty Small Ones.
Hiring processes rarely fail because of one major problem. Instead, they become inefficient through dozens of small friction points like missed follow-ups, delayed approvals, disconnected tools, poor interview coordination, and manual reporting. These issues may seem minor individually, but as hiring scales, they compound into slower hiring, inconsistent candidate experiences, higher costs, and lost candidates. The core problem is often not the HR team itself, but a disconnected infrastructure of tools and manual processes. The solution is a more connected hiring system that automates repetitive work, improves visibility, and makes the process more structured and predictable.
Your Time-to-Hire Metric Is Lying to You
A role gets filled in 20 days. Everyone celebrates. Nobody asks how many resumes got reviewed, how many qualified candidates were overlooked, or whether the strongest applicants were even seen first.
Hiring Can Look Healthy and Still Be Failing
From the outside, a broken hiring process usually looks fine. Roles are open, candidates are flowing in, interviews are being scheduled, recruiters are busy. Activity is everywhere. But activity is not the same as progress, and a full pipeline is not the same as a healthy one.
Every Interviewer Thinks They're Evaluating the Same Thing. They're Not.
Ask a hiring team if their evaluation process is fair and consistent, and almost everyone will say yes. Nobody sets out to be biased. Nobody walks into an interview planning to judge a candidate on anything other than merit. And yet, put five interviewers in a room and ask them to independently score the same candidate, and you'll often get five different verdicts, sometimes with completely different reasoning attached. That gap is not a hiring failure in the dramatic sense. It's something quieter, and it's a lot more common than most teams realize.
Contingency Recruitment vs. Retained Executive Search: What's the Actual Difference?
Recruiting firms, staffing associations, and executive search consultancies almost universally use two terms to describe how they get paid: contingency recruitment (sometimes "contingency search" or "contingent search") and retained search (sometimes "retained executive search"). A third, less common model called "engaged search" sits in between the two, blending elements of both. Here's what actually separates them, and what each one costs in practice.