Steven Rothberg - The Evolution of Recruitment Metrics & The Future of AI in HR скачать в хорошем качестве

Steven Rothberg - The Evolution of Recruitment Metrics & The Future of AI in HR

Are you tired of dealing with outdated recruiting strategies? Wondering if AI can truly revolutionize hiring? This episode dives into the gritty truth about how modern metrics and emerging AI tools are reshaping talent acquisition—sometimes for better, sometimes for worse.Join us as we unpack decades of recruiting wisdom, the pitfalls of cost-per-click, and what’s next in HR tech. In this episode: • The history of traditional job advertising and its limitations • How cost-per-application models are changing the game • The messy reality of defining "qualified" applications and why subjectivity matters • The myth of AI as an unbiased recruiter and its legal risks • Why transparency in pay and job descriptions can fix much of the hiring chaos • The dangers of scaling bad processes and how to avoid scaling mistakes • Practical insights on choosing the right metrics for your hiring needs • The future of AI in recruitment and the importance of process over technology Useful links: • College Recruiter (https://www.collegerecruiter.com/) • Work Defined Podcast Network (https://workdefinenetwork.com/) • Ultimate Guide to Recruitment Metrics (https://example.com/recruitment-metrics) • Artificial Intelligence in Hiring – Industry Report (https://example.com/AI-hiring-report) • The Future of Pay Transparency (https://example.com/pay-transparency-...) Reach out to Steven Rothberg: • LinkedIn (  / stephenrothberg  ) • Twitter (  / stevenrothberg  ) Timestamps: 0:00 - Welcome and episode overview: Are recruitment metrics still holding up? 00:42 - Introducing Stephen Rothberg and college recruiter’s journey 01:14 - The roots of traditional recruiting: From flyers to newspapers 02:25 - Starting a business from a summer job and risk-taking mentality 03:52 - The Winnipeg Jets story: Childhood risks and lessons in boldness 05:23 - The shift from inefficient to performance-based ad models 06:49 - The real meaning of "click" and the confusion across platforms 08:13 - The rise of cost per application and its emotional impact on employers 09:54 - Defining "qualified applications"—subjectivity and its pitfalls 11:35 - Why scaling bad processes makes them worse 13:08 - The evolution of pay-per-click and undisclosed definitions 14:54 - The deadly cycle of bad job descriptions and reposting 16:23 - How hiring for "fit" often misses the mark and costs real money 17:10 - Qualification in hiring: Who judges? The subjectivity of recruiters 18:29 - Scaling broken processes: The airplane manufacturing example 19:54 - The quiet cost of bad candidate sourcing: The ATS funnel 22:17 - The dangerous hype around AI and its current limitations in hiring 23:12 - The black hole of AI decision-making and lack of transparency 26:24 - The importance of honest job descriptions and pay transparency 28:43 - Do employers prefer CPC, duration-based, or new models? 30:01 - The chase for quality candidates and the costs involved 31:27 - How to effectively invest in recruitment—long-term wins over shortcuts 32:28 - The impact of AI on assessments and candidate matching 35:55 - The legal peril of AI-driven hiring decisions and audit trail challenges 37:25 - Final thoughts: Embracing process, transparency, and smart metrics