William Tincup

President, RecruitingDaily

William is the President of RecruitingDaily. At the intersection of HR and technology, he’s a writer, speaker, advisor, consultant, investor, storyteller & teacher. He’s written over 200 HR articles, spoken at over 150 HR & recruiting conferences and he’s conducted over 1000 HR podcasts.  William prides himself on being easy to find on The Internet, Google him and connect with him via Twitter, Facebook, Instagram, LinkedIn and YouTube.

William serves on the Board of Advisors for altru, bhired, Weave, Vervoe, Brazen, hirepool, Talentegy, Talent Ninja, Universum Americas, Engagedly, Echovate, VibeCatch, Continu, Hyphen, Recruit KARMA, Happie, RolePoint, Causecast, Work4, Talent Tech Labs, and SmartRecruiters. He was previously an advisor to PeopleMatter (sold to Snagajob Q2 2016), Good.co (sold to StepStone Q1 2016) Smarterer (sold to Pluralsight Q4 2014) and a board member of Chequed (merged to create OutMatch Q3 2015).

William is a graduate of the University of Alabama of Birmingham with a BA in Art History. He also earned an MA in American Indian Studies from the University of Arizona and an MBA from Case Western Reserve University.

Upcoming Conference Sessions Featuring William Tincup

Conference

The Future of Predictive Recruiting Metrics

What to measure, when to measure, why measure. We think we have a universal agreement and understanding of these things. And we probably all agree that TA leaders should have their fingers on the pulse of said metrics. Um, not so much.

Like everything in HR, recruiters have more predictive metrics than they know what to do with. Again, knowing which predictive metrics and how to analyze them is intellectually elusive and painful. The goal of this session is to explain the future of predictive recruiting metrics that matter and why they matter.

This particular juncture in history is a bit overwhelming. When people talk about making data-driven decisions, what exactly do they mean? Throw out our experience, forget what we've learned, and lose the funny and not-so-funny stories that are a part of our career? No. What people generally mean is that "we" should look at data first then square that against that we know to be true. This session will be exclusively about ...

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Content Featuring William Tincup