『HR Data Labs』のカバーアート

HR Data Labs

HR Data Labs

著者: WRKdefined Podcast Network
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Unlock the future of HR, today with the HR Data Labs podcast! Dive into transformative insights, expert interviews, and cutting-edge practices that empower organizations to harness their workforce’s potential. Join us for engaging discussions that will inspire you to innovate, strategize, and lead with confidence! Tune in now!All rights reserved by WRKdefined マネジメント マネジメント・リーダーシップ 出世 就職活動 経済学
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  • Sean Luitjens - Navigating the Mass Confusion in Compensation Today
    2025/08/14
    In this episode, we welcome back Sean Luitjens, VP of Product Strategy and Partnerships at Salary.com. Drawing from his recent conversations with over 20 WorldatWork affiliates, Sean shares his insights on the most pressing challenges and consistent messages from compensation practitioners on the front lines. He also unpacks the “mass confusion” caused by data overload and new compliance demands, the strategic allocation of limited budgets, and future of merit increases. [0:00] Introduction Welcome, Sean! Today’s Topic: The Consistent Messages from WorldatWork [5:07] What are the most consistent messages you've heard from WorldatWork affiliates? Practitioners are facing “mass confusion” from the sheer volume of data, technology options, and compliance requirements. Despite increased demands, compensation budgets and headcount have not grown. [17:47] Where are compensation departments focusing their time and budgets? Technology now allows for more sophisticated segmentation and pay philosophy execution than was possible with Excel. The role of the compensation professional has expanded to include communications, as transparency makes it critical to explain the “why” behind pay decisions. [28:17] Are merit increases going away? The effectiveness of traditional merit increases vs. paying for the role and offering performance-based bonuses that are not added to base pay. The practical challenges of any model, whether it’s merit-based or role-based, often come down to inconsistent management and lack of buy-in. [34:36] Closing Thanks for listening! Quick Quote “We don’t always put ourselves in the seats of the [compensation] practitioner . . . There’s so much information coming at them from data, and the one thing that seems to not have changed in the comp budget.”
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    37 分
  • Neil Thompson - Why Your Best Tech Talent Needs Better Speaking Skills
    2025/08/07
    In this episode, we welcome Neil Thompson, founder of Teach the Geek, to discuss the critical need for developing speaker training programs for technical staff within an organization. Neil shares his personal story of struggling with public speaking as an engineer and how it inspired him to help other technical professionals improve their communication skills. He breaks down the common challenges technical experts face when presenting to non-technical audiences and offers practical strategies HR departments can implement to foster better communication across the organization. [0:00] Introduction Welcome, Neil! Today’s Topic: Developing Speaker Training Programs for Technical Staff [6:59] Why is it so important for technical staff to be strong public speakers? How a lack of communication skills can lead to being overlooked for promotions and raises. The benefit of having the person with the expertise communicate it directly, rather than risk information getting lost in translation. [13:33] What are the biggest challenges for technical people presenting to non-technical audiences? The importance of remembering what it was like before becoming a technical expert and tailoring the presentation accordingly. The challenge of making assumptions about what the audience already knows. Strategies for understanding the audience before delivering a presentation. [20:32] What role can HR play in developing presentation and communication skills for technical staff? Involving technical staff in the creation of the training or presentation to ensure it meets their needs. Using feedback questionnaires to measure the effectiveness and improvement of the training over time. [28:52] Closing Thanks for listening! Quick Quote “A lot of times, technical people, we think that us being excellent at our jobs is good enough, and unfortunately, that's not the case. If you're not good at advocating for yourself, you're not good at communicating your worth to an organization, you get overlooked.”
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    32 分
  • Prem Kumar - A New Era of AI-Powered Recruiting
    2025/07/31
    In this episode, we welcome Prem Kumar, the CEO and co-founder of Humanly, an AI-powered hiring platform. We discuss how AI is reshaping the world of recruiting by improving speed, enhancing the candidate experience, and allowing for greater scalability without losing the essential human touch. Prem also discusses the importance of building trust with candidates through empathetic AI interactions, and provides real-world examples of how companies are using these new tools to make their hiring processes more efficient and effective. [0:00] Introduction Welcome, Prem! Today’s Topic: How AI is Reshaping Recruiting [8:31] How is AI helping recruiters balance speed and candidate experience? AI can make bad processes happen faster just as easily as it can good ones; it's not a replacement for a sound strategy. The role of the recruiter will evolve into one of orchestration, strategically deciding where to implement AI in the hiring workflow. [16:10] How can you build an AI that earns candidate trust? Earning trust is about providing immediate value and setting clear expectations. The goal is not to trick a candidate into thinking an AI is human, but to be transparent about its role in assisting them. [24:57] What are some real-world examples of AI improving hiring efficiency? For AI to be effective, it must be integrated directly into a company’s primary workflow, such as its Applicant Tracking System (ATS). Chat agents are now handling candidate intake, answering questions, and initial screening. Companies are using AI to re-engage with the vast pools of candidates they already have in their databases. [35:23] Closing Thanks for listening! Quick Quote “AI, like any technology, has the ability to make this happen faster, more efficiently, and at a higher quality; but it also has the ability to make bad things happen faster, more efficiently bad, and at a higher quality of bad. It isn’t a way of getting around sound process.”
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    37 分
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