Why Your Job Post Is Repelling Your Best Candidates

Episode 38 of Hiring & Firing digs into the surprising data behind job description language. Lucas and Luna examine a 2025 study from Textio analyzing 2.7 million job posts, which found that listings with more than 10 requirements in the 'must-have' section received 40% fewer applications from high-skill candidates. They walk through why overloaded descriptions signal unrealistic expectations, how gender-coded language like 'aggressive' and 'ninja' backfires, and why companies like Atlassian cut their requirements to six essentials and saw a 25% increase in qualified applicants. The hosts also explore the rise of 'minimum viable job descriptions' at startups and the cost of excessive screening. A specific, data-backed look at how your first touchpoint with candidates may be silently filtering out your best hires. #JobDescription #Recruitment #Hiring #TalentAcquisition #Textio #Atlassian #GenderBias #SkillsBasedHiring #CandidateExperience #HRTech #EmploymentBrand #JobPosting #DiversityInHiring #Business #FexingoBusiness #BusinessPodcast #HiringAndFiring #WorkforceStrategy Keep every episode free: buymeacoffee.com/fexingo