HR Data Labs

This episode dives deep into the transformative power of AI in bridging the communication chasm between HR leaders and frontline employees. Brodie Meyer shares candid insights on how a simple SMS strategy turned into a revolutionary tool that improves engagement, safety, and retention, proven among industries that most need it. In this episode: Brodie's journey from blue-collar roots to HR tech innovator The story behind YourCo, a frontline employee communication platform Why traditional tools failed frontline workers and how SMS changed the game The magic of two-way texting and real-time conversations Metrics revealing improved engagement: from immediate reach to 86% two-way after 90 days The tangible outcomes: decreased turnover, higher safety, and increased productivity The strategic use of AI: frontline insights and sentiment analysis Practical advice: meet employees where they are on their devices and habits Brodie’s thoughts on AI’s role in scaling HR communications effectively Timestamps: 00:33 - Welcome to the HR Data Labs podcast with Brodie Meyer 01:08 - Meet Your Co: transforming frontline communication in traditional industries 02:14 - Brodie's personal motivation and background 03:01 - Juggling family and startup life with new born Nolan 04:12 - Brodie’s fun fact: love for Italian cooking 05:32 - The gap between HR and frontline workers — origins of the idea 06:15 - Struggling with Slack in blue-collar environments 07:55 - The breakthrough: SMS as the go-to communication channel 08:29 - Why texting works: older devices, language barriers, and habits 11:11 - Building a two-way platform that’s accessible and effective 12:05 - Employee and management feedback: engagement truths 13:05 - Impact: exceeding expectations and improving workforce sentiment 14:33 - Scaling solutions for large enterprises while maintaining engagement warmth 15:38 - Metrics: Achieving 86% two-way engagement after 90 days 16:52 - The importance of real conversations with frontline staff 17:39 - The ROI focus: reduced turnover, safety, productivity improvements 19:57 - AI in frontline communication: frontline intelligence and sentiment analysis 21:24 - Ensuring data accuracy and transparency with citations 23:08 - Practical advice: meet employees where they are to unlock results 23:43 - Closing thoughts and the power of meeting employees where they truly are. Resources & Links: Your Co -The frontline communication platform transforming industries Book: HR Transformation by John Smith Brodie Meyer - LinkedIn | Twitter AI & Sentiment Analysis Tools — Google Cloud AI Connect with Brodie Meyer: LinkedIn Twitter End on this: If you want to revolutionize HR and frontline engagement, meet your employees where they already are, on their phones, their language, their habits. That’s the secret sauce to unlocking productivity, safety, and retention at scale. Don’t just imagine it, do it!

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 Work Defined Podcast Network Ultimate Guide to Recruitment Metrics Artificial Intelligence in Hiring – Industry Report The Future of Pay Transparency Reach out to Steven Rothberg: LinkedIn Twitter Timestamps: 0:00 - Welcome and episode overview: Are recruitment metrics still holding up?00:42 - Introducing Stephen Rothberg and college recruiter’s journey01:14 - The roots of traditional recruiting: From flyers to newspapers02:25 - Starting a business from a summer job and risk-taking mentality03:52 - The Winnipeg Jets story: Childhood risks and lessons in boldness05:23 - The shift from inefficient to performance-based ad models06:49 - The real meaning of "click" and the confusion across platforms08:13 - The rise of cost per application and its emotional impact on employers09:54 - Defining "qualified applications"—subjectivity and its pitfalls11:35 - Why scaling bad processes makes them worse13:08 - The evolution of pay-per-click and undisclosed definitions14:54 - The deadly cycle of bad job descriptions and reposting16:23 - How hiring for "fit" often misses the mark and costs real money17:10 - Qualification in hiring: Who judges? The subjectivity of recruiters18:29 - Scaling broken processes: The airplane manufacturing example19:54 - The quiet cost of bad candidate sourcing: The ATS funnel22:17 - The dangerous hype around AI and its current limitations in hiring23:12 - The black hole of AI decision-making and lack of transparency26:24 - The importance of honest job descriptions and pay transparency28:43 - Do employers prefer CPC, duration-based, or new models?30:01 - The chase for quality candidates and the costs involved31:27 - How to effectively invest in recruitment—long-term wins over shortcuts32:28 - The impact of AI on assessments and candidate matching35:55 - The legal peril of AI-driven hiring decisions and audit trail challenges37:25 - Final thoughts: Embracing process, transparency, and smart metrics

In this episode, we dive deep into the challenges and opportunities of HR data governance, exploring how organizations can improve data quality, ownership, and usability in a rapidly evolving AI landscape. Join us for practical insights from seasoned HR analytics experts on building a data-driven culture that supports strategic decision-making. Key Topics: Why HR data is often unreliable and the impact on decision-making The role of ROI and cultural mindset in improving HR data quality The importance of ownership, stewardship, and clear definitions in data governance How AI and machine learning magnify data quality issues if governance is lacking Practical steps to start building your HR data governance framework The critical role of documentation, data catalogs, and system integration Common pitfalls: managing multi-system data consistency and avoiding errors Quick wins: focusing on key metrics and stakeholder collaboration Timestamps: 00:00 - Introduction: Why HR data governance matters today 02:30 - Challenges HR faces with data quality and accuracy 06:15 - Why organizations struggle to demonstrate ROI from HR data 09:00 - Cultural and mindset barriers to effective data management 11:00 - The impact of AI and machine learning on HR data quality 12:30 - Context and system integration challenges across HR tech stack 15:11 - Defining HR data governance: Ownership, stewardship, and quality 17:00 - Creating a data glossary and system of record for HR data 19:05 - Real-world examples of poor HR data visibility and audit issues 21:00 - Using chatbots and AI: risks, benefits, and data consistency 24:00 - The importance of documentation and version control in AI applications 27:40 - Practical steps to start your HR data governance journey 30:00 - The significance of aligning metrics and defining owners 33:00 - Building a culture of data excellence and quick wins 36:00 - Addressing expectations for pristine data and managing realities 37:00 - Final recommendations for HR leaders to improve data governance Connect with Guests: Raswinder Singh - LinkedIn | Twitter Ankit Abrol - LinkedIn | Twitter

Join host David Turetsky and guest Paul Reiman from Novo Insights as they delve into the dynamic world of compensation strategies and pay transparency. Discover how regulatory changes in the US and Europe are shaping the landscape, the critical role of job documentation, and the impact of technology in fostering transparency. Tune in for insightful predictions for 2026 and learn how political climates may influence future pay transparency laws. Chapters Introduction and Guest Introduction Compensation Strategies and Pay Transparency Regulatory Changes in the US and Europe The Role of Technology in Transparency Predictions for 2026 Conclusion and Final Thoughts Quotes: "Job documentation is crucial for pay transparency." "Regulatory changes are reshaping the compensation landscape." "Expect a shift in compensation survey methodologies by 2026." "Technology plays a key role in enabling transparency." "Implementing pay transparency presents unique challenges." "2026 will bring significant changes to HR practices." "Adapting to regulatory changes is essential for success."

🚀 Exciting changes are coming in 2026! Join David Turetsky as he shares his vision for HR Data Labs, focusing on positivity and growth. Discover how we're merging brown bag lunches into our podcast and launching something new for HR Data Labs. #HRDataLabs #2026Vision #Positivity Chapters 00:00:34 Introduction and New Directions 00:01:42 David Turetsky's Personal Goals 00:03:59 HR Data Labs Evolution 00:06:19 HR Data Doodles news

Steve Brink, CEO of GECN Group, joins us this week to discuss the complex world of executive compensation. Steve breaks down why the US pays a premium compared to the rest of the world, how boards are shifting their focus from simple compensation to holistic talent management, and the global trends driving executive pay structures today.