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Unf*ck It

Unf*ck It

De : WRKdefined Podcast Network
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Work is f*cked. We call it out, rip it apart, and talk about how to make it better—with voices bold enough to say what you’ve only thought. Unf*ck It: the conversation you wish your boss would have.All rights reserved by WRKdefined Economie Management Management et direction
Épisodes
  • Can AI Really Predict Great Hires?

    Can AI Really Predict Great Hires?
    Jun 9 2026
    Hiring teams are moving faster than ever thanks to AI-powered recruiting tools, but are those tools actually improving hiring quality—or just increasing efficiency? In this episode, Stephen Rothberg, founder of College Recruiter, joins Crystal and Dwane to unpack the growing role of AI in talent acquisition, the challenges of validating hiring technology, and why speed, quality, and candidate experience are often competing priorities. The conversation explores predictive hiring, bias, candidate trust, workforce productivity, and whether organizations are asking the right questions before adopting new recruiting technology. The episode also highlights the importance of self-awareness, strengths-based leadership, and how understanding your own wiring can transform both personal and professional success. Key Takeaways - AI recruiting tools consistently improve speed and efficiency, but proving they improve hiring quality is far more complex. - Many organizations justify AI adoption through quality outcomes, while the primary measurable benefit is often operational efficiency. - Historical hiring data can create feedback loops that reinforce past biases instead of identifying future top performers. - Recruiting technology should be validated through structured testing and long-term performance measurement, not just faster hiring metrics. - Self-awareness and focusing on personal strengths can drive greater professional success than trying to excel in areas that don't align with your natural abilities. Timestamps00:02 – Introduction and why AI hiring sparked debate 01:15 – The problem with AI candidate scoring systems 03:18 – Efficiency versus quality in recruiting technology 07:05 – How faster hiring can improve outcomes 08:34 – Are employers overselling AI’s impact on quality? 10:07 – The hidden costs of AI implementation 15:08 – Why quality is often a proxy metric 16:01 – The challenge of validating predictive hiring tools 18:19 – Measuring hiring success and workforce productivity 21:03 – Retrospective analysis versus parallel testing 30:20 – Candidate experience and rejection timing 36:05 – Building trust through transparent hiring processes 42:01 – Why recruiting often skips rigorous testing 45:01 – The “Go Unf*ck Yourself” lesson on ADHD and self-awareness 47:23 – Playing to strengths instead of weaknesses 49:12 – Where to connect with Stephen Rothberg KeywordsAI recruiting, hiring technology, talent acquisition, candidate experience, predictive hiring, recruiting automation, workforce productivity, hiring bias, recruitment analytics, Stephen Rothberg
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    51 min
  • Why Hiring Relationships Break

    Why Hiring Relationships Break
    May 19 2026
    Katrina Collier joins the podcast for a raw conversation about the broken relationship between talent acquisition teams and hiring managers — and why recruiting problems are rarely just process problems. From overloaded recruiters and poor leadership support to toxic workplace behaviors and unhealed personal trauma, this episode dives into what actually damages hiring outcomes. Katrina also shares deeply personal lessons from her memoir, The Damage of Words, and explains how self-worth, boundaries, and emotional healing directly impact leadership, recruiting, and workplace culture. Key Takeaways - Recruiting breaks down when TA and hiring managers stop acting like partners - Most hiring problems start before a job is ever posted - People-pleasing and perfectionism quietly damage recruiters and leaders - Toxic workplace behavior often comes from unresolved personal wounds - Great hiring requires confidence, boundaries, and honest communication Timestamps 00:00 – Introducing Katrina Collier and her work 03:20 – Why TA and hiring managers clash 06:00 – The recruiting chaos created after 2020 11:00 – Why recruiters need more authority upfront 15:00 – Managers who think interviewing equals recruiting 18:30 – Why TA teams are undervalued internally 21:00 – The danger of untrained managers 24:00 – Job postings, AI applications, and candidate overload 29:00 – How recruiters should push back on bad hiring practices 35:00 – The emotional damage behind workplace behavior 38:00 – Childhood trauma, perfectionism, and people-pleasing 42:00 – Narcissism, toxic leaders, and workplace survival 50:00 – Katrina’s healing journey and The Damage of Words Keywordstalent acquisition, hiring managers, recruiting culture, workplace toxicity, Katrina Collier, leadership development, candidate experience, workplace trauma, perfectionism, emotional intelligence
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    55 min
  • Why Marketing Leads Don’t Drive Revenue

    Why Marketing Leads Don’t Drive Revenue
    May 5 2026
    This episode explains why traditional marketing metrics like MQLs (marketing qualified leads) often fail to drive real business results. You’ll learn how to shift from activity-based reporting to revenue-focused outcomes, how to better align marketing with sales, and how to rethink the entire customer journey using more realistic models. The conversation also explores how buyer behavior actually works, why most leads are not ready to buy, and what marketers should measure instead to improve conversion, shorten sales cycles, and build long-term customer value. Key Takeaways - MQLs measure activity, not real buying intent - Marketing must align with sales to define qualified leads - Revenue metrics matter more than clicks or volume - Customer value and conversion rates drive real outcomes - Buyer journeys are non-linear and require better evaluation points Timestamps 00:01 – Why marketing metrics are often misleading 01:10 – What MQLs are and why they fail 02:10 – Activity versus real buying intent 03:30 – Why gated content doesn’t create real leads 05:00 – How to align marketing with sales needs 07:10 – What actually makes a lead qualified 09:10 – Metrics that matter: revenue and lifecycle value 12:00 – Why the funnel model breaks down 18:20 – How to fix marketing and sales alignment 29:30 – Letting go of perfectionism at work Keywordsmarketing qualified leads, MQL vs SQL, marketing metrics that matter, B2B marketing strategy, lead qualification process, sales and marketing alignment, customer lifetime value, pipeline velocity, marketing ROI measurement, buyer journey behavior
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    46 min
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