Post by TalentEdge: AI Solution for Talent Matching | Hiring | Recruitment

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Imagine this: Your hiring KPIs are excellent. Time-to-fill: 32 days. Offer acceptance: 87%. Candidate quality scores: 8.3/10. Then 18 months later, 40% of those "exceptional" hires are underperforming. What went wrong? You hired for job requirements. But you didn't validate if those requirements actually predict success in YOUR organisation. Here's the disconnect: Traditional approach:\n? Create job description\n? Screen for "must-haves"\n? Hire candidates who match\n? Hope they perform The problem? Your "must-haves" might be wrong. TalentEdge approach:\n? Analyse your top performers\n? Identify what ACTUALLY predicts success\n? Cross-validate hiring criteria against performance data\n? Redefine what "great" looks like based on YOUR outcomes Real example: A fintech company required "5+ years SQL" for analyst roles. TalentEdge revealed their top performers had diverse backgrounds—some with 2 years SQL but strong statistical reasoning. They adjusted criteria with their new hire/high performer ratio increasing by 24%. Your hiring KPIs measure efficiency. TalentEdge measures effectiveness. Stop hiring for job descriptions. Start hiring for proven performance indicators. DM "effectiveness" to learn how. #RecruitmentTechnology #TalentAcquisition #TalentEdge #HRTech #QualityOfHire

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