The Vetta Blog
Real talk on AI recruiting, hiring efficiency, and talent matching.
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Unshitifying Hiring, Part 6: Why Job Boards Are Built for Noise, Not Results
You post a job. You get 300 applications. You think: 'Wow, what a great response!' But then reality hits: Only 10% meet the basic qualifications. Only 3% make it to an interview. And maybe, maybe 1 is a good fit. If this sounds familiar, it's because job boards are optimized for volume—not accuracy.
Read ArticleWhy Most Job Descriptions Fail (and What to Do Instead)
You've seen them a thousand times: 'We're looking for a rockstar self-starter with 5+ years of experience in a fast-paced environment…' It's generic. It's recycled. It says everything and nothing all at once. And worst of all—it's repelling the candidates you actually want to hire.
Read ArticleWhat Is Outcome-Based Hiring? (And Why It's Replacing Resumes)
Most companies still hire by filtering resumes, checking for keywords, and hoping the formatting tells a story. But there's a better way. Outcome-based hiring flips the process: Instead of asking 'What titles has this person held?' You ask 'What problems have they solved?'
Read Article💥 Unshitifying Hiring, Part 5: We Don't Need More Data. We Need Better Decisions.
If you've been involved in hiring recently, you know this feeling: You're staring at a spreadsheet full of resumes, with LinkedIn open in one tab, an ATS in another, and a never-ending Slack thread. There's no shortage of data—there's a shortage of clarity.
Read Article⏳ The Hidden Costs of Slow Hiring (And How AI Speeds It Up)
You might think slow hiring means careful hiring. More steps = better choices, right? Not exactly. In reality, slow hiring costs you your best candidates, your team's morale, your business goals, and eventually, your brand reputation.
Read Article📉 The Resume Problem Nobody Wants to Admit
You're hiring for a critical role. You open your ATS. You filter for keywords. You eliminate 90% of applicants in under 10 seconds. Efficient, right? Except the person who actually solved your exact problem last year? They used different terminology. And your system filtered them out.
Read Article