Hiring Process - Vetta Blog
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AI Resume Screening Isn't AI Hiring (And That's Why It's Failing)
If you ask most hiring teams whether they use AI, the answer is yes. But dig deeper, and you'll find their AI is just automating outdated processes. That's not smarter hiring. That's just faster filtering. Hiring isn't broken because it's too slow at filtering. Hiring is broken because it's filtering for the wrong things.
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.
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