Hiring Intelligence

Resume matching accuracy is highest when the job description itself is well-structured — clearly distinguishing required skills from preferred ones, using terminology consistent with how candidates describe equivalent skills in their profiles, and avoiding internal jargon that maps to commonly used external terms. The most damaging resume matching failure is false negatives: qualified candidates whose profiles use different but equivalent terminology than the job description are excluded before human review. Semantic matching systems address this partially, but the most effective mitigation is writing job descriptions specifically for the external talent market rather than using internal role language that matching systems cannot correctly interpret as equivalent to the candidate-side terminology.