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You Should Know

You Should Know

Auteur(s): WRKdefined
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"You Should Know," a podcast delving into pivotal leadership challenges in the workplace. With broad topics, it engages anyone invested in the evolving world of work. Join us as we unravel workplace dynamics. Proudly brought to you by WRKdefined with hosts William Tincup and Ryan Leary.All rights reserved by WRKdefined Développement commercial et entrepreneuriat Entrepreneurship Gestion et leadership Politique Économie
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  • Why Findem’s acquisition of Getro signals a shift from job posts to outcomes
    Dec 23 2025
    Talent acquisition is flooded with AI tools, but most hiring teams are still optimizing for activity instead of results. Bad data, shallow signals, and outdated job posts continue to slow real progress, even as technology accelerates. In this episode, the conversation centers on the acquisition of Getro by Findem and what it reveals about the future of recruiting. The focus stays on outcomes over tools, why weak network ties surface the best opportunities, and how intelligent job posts change hiring from a volume game into a precision exercise. What We Cover Why AI struggles in recruiting when data foundations are broken What the Getro acquisition adds to Findem’s talent intelligence model How networking actually drives job discovery Why weak ties outperform strong ties in hiring What it means to turn job posts into intelligent outcomes Key Takeaways AI is not ready for HR because most recruiting data is fragmented, biased, and poorly structured. Without clean inputs, automation simply scales bad decisions faster. The Getro acquisition strengthens Findem by adding community and network signal to traditional talent intelligence. It shifts recruiting closer to how people actually find jobs. Networking remains the most effective job search and hiring mechanism. Weak ties consistently surface higher-quality opportunities than close connections. Job posts should evolve from static descriptions into intelligent systems tied to outcomes. Hiring success improves when posts adapt to signal, fit, and market feedback. The future of recruitment is outcome-centric, not tool-centric. Teams that prioritize quality, relevance, and signal will outperform those chasing volume. Chapters 00:00 Breaking the Findem Acquisition 03:02 The Evolution of Talent Acquisition 05:52 Networking and Job Opportunities 08:54 The Role of AI in Talent Acquisition 11:58 Post-Acquisition Vision and Strategy 14:48 Community and Fit in Recruitment 17:52 Outcome-Centric Approach to Hiring 20:39 Change Management in AI Adoption 23:33 Leveraging Weak Links in Networking 26:34 The Future of Talent Acquisition Guest Hari Kulam, Co-Founder at Findem LinkedIn: https://www.linkedin.com/in/hkolam/ Maveric, CTO and Co-founder at Getro LinkedIn: https://www.linkedin.com/in/mavericohm/ Hosts William Tincup, Co-founder , WRKdefined LinkedIn: https:// linkedin.com/in/tincup Ryan Leary, Co-founder, WRKdefined LinkedIn:htps://linkedin.com/in/ryanleary Connect with Us Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
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    35 min
  • What AI Adoption at ADP Reveals About Employee Experience and Trust with Naomi Lariviere Chief Product Officer, VP Product Management ADP
    Dec 22 2025
    AI is moving quickly from experimentation to everyday use inside large organizations, especially when it comes to employee experience. Adoption alone is no longer the headline. What matters is whether people trust the technology, understand how it is being used, and can see real outcomes tied to that usage. At scale, those questions carry more weight and more risk. In this episode, the focus is on how AI is shaping employee experience at ADP, what widespread adoption actually looks like, and why client trust and transparency are non-negotiable. The conversation centers on technology adoption, proof of value, and why the next year will be critical for separating AI that works from AI that only sounds good. What We Cover AI adoption and employee experience at scale Why trust is foundational to AI use Transparency as a driver of confidence What high usage rates really signal Why proof of impact now matters Key Takeaways: AI adoption is already widespread inside ADP, with 67 percent of the employee base actively using AI tools. That level of usage signals comfort and familiarity, but it also raises expectations around outcomes and accountability. ADP’s scale matters. Paying one in six people in the United States creates a responsibility to deploy AI carefully, consistently, and in ways that protect trust across employees and clients. Client trust is a prerequisite for AI adoption. Without transparency into how AI is used and why decisions are made, confidence erodes quickly, even when the technology performs well. The coming year is a proving ground for AI in HR. Clients are no longer satisfied with potential. They want evidence, success stories, and clear demonstrations that AI is improving the employee experience. Guest: Naomi Lariviere Chief Product Officer, VP Product Management at ADPLinkedIn: https://www.linkedin.com/in/naomilariviere/ Hosts: William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ Connect with Us: Site: http://www.wrkdefined.comTikTok: https://www.tiktok.com/@wrkdefinedLinkedIn: https://www.linkedin.com/company/WRKdefinedFacebook: https://www.facebook.com/WRKdefinedTwitter (X): https://twitter.com/WRKdefinedSubstack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
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    41 min
  • How Recruiters and Hiring Managers are Rethinking Quality, Collaboration, and Technology with Indeed
    Dec 16 2025
    Hiring teams are surrounded by AI tools, but many still aren’t sure what’s actually helping and what’s just noise. The real tension right now isn’t whether AI belongs in hiring. It’s how it gets used, who understands it, and whether it’s improving outcomes or just increasing volume. In this episode, William Tincup sits down with Heidi Laki from Indeed to talk about what’s changing inside recruiting teams. They dig into the gap between recruiters and hiring managers, why quality of hire matters more than ever, and how AI can surface talent that traditional filters miss. The conversation lands on a simple truth. Technology should handle the repetitive work so humans can focus on judgment, collaboration, and better decisions. What We Cover Where AI is actually showing up in hiring today Why hiring managers struggle to trust and understand AI tools The shift from applicant volume to quality of hire Hiring as a collaborative, shared responsibility Screening candidates in instead of screening them out How AI can uncover non-traditional talent Balancing automation with human judgment Key Takeaways AI is already embedded in hiring workflows, but adoption doesn’t equal understanding. Many hiring managers use AI-powered tools without knowing how decisions are being made, which creates mistrust and misuse. Recruiting is moving away from volume-driven success metrics. The focus is shifting toward quality of hire, long-term fit, and outcomes that matter to the business, not just filled reqs. Hiring works best as a team sport. Recruiters, hiring managers, and technology need to operate together, not in silos, to make better decisions faster. AI is most valuable when it handles rote, repetitive tasks. That frees humans to do what machines can’t—apply judgment, creativity, and context to hiring decisions. Screening candidates in, rather than defaulting to screening out, opens access to adaptable talent that may not fit traditional profiles but can succeed with the right support. This episode is sponsored by Indeed And features a conversation around Career Scout and Talent Scout, two tools designed to support job seekers and employers through smarter matching, interview preparation, and more efficient hiring. Learn more Talent Scout here: http://indeed.com/talentscout Learn more about Career Scout here: http://indeed.com/careerscout Chapters: 00:00 – Why AI in hiring feels both exciting and confusing 03:03 – Where AI is actually being used today 06:07 – The trust gap between hiring managers and AI tools 08:57 – Moving from applicant volume to hiring quality 11:57 – What hiring managers need but don’t always get 14:58 – Why recruiting only works as a team effort 17:55 – What AI should do versus what humans must do 19:42 – Getting comfortable with new hiring technology 22:44 – AI’s real role in talent acquisition 25:13 – Customizing hiring instead of forcing templates 29:33 – Collaboration as a hiring advantage 33:45 – Rethinking how talent is discovered 36:05 – Screening in candidates for better outcomes 39:36 – How AI is reshaping the future of work 43:52 – Adaptability as the new hiring currency Guest InformationHeidi Laki, Senior Product Director, AI AgentsWebsite: https://www.indeed.comLinkedIn: https://www.linkedin.com/in/heidilaki/ Host and Network LinksWilliam Tincup LinkedIn: https://www.linkedin.com/in/tincup/Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ Connect with UsSite: http://www.wrkdefined.comTikTok: https://www.tiktok.com/@wrkdefinedLinkedIn: https://www.linkedin.com/company/WRKdefinedFacebook: https://www.facebook.com/WRKdefinedTwitter (X): https://twitter.com/WRKdefinedSubstack: https://wrkdefined.substack.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
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    49 min
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