Product development today is less about shipping features and more about orchestration. Platform teams are navigating AI integration, customer feedback, and business goals at the same time, often with competing incentives pulling in different directions. This conversation explores how modern product orgs are structured into pods, why AI adoption is harder than it looks, and what it actually takes to earn trust from users and internal teams. It also connects product thinking to audience engagement during speaking engagements, showing how communication, incentives, and feedback loops shape adoption both onstage and inside the product. In this episode, we talk about platform strategy, AI integration, product development tradeoffs, customer feedback, trust in AI, and audience engagement. The discussion moves from how product teams are organized into pods, to why incentives matter more than hype for AI adoption, to how engineering skillsets are evolving as AI reshapes how products are built, explained, and adopted. Key Takeaways Product platforms are increasingly organized into focused pods, each owning a specific slice of HCM or functionality. This structure speeds execution but also forces tighter alignment across teams, especially as AI becomes a shared dependency instead of a side feature. Platform is no longer just infrastructure. It is the strategy layer. AI integration is not optional anymore, but adoption is fragile. Teams underestimate how much trust, clarity, and repetition it takes before users actually change behavior. AI works when it feels obvious, helpful, and safe. If users have to think too hard, they simply opt out. Customer feedback is necessary but dangerous if it is followed blindly. Strong product teams listen closely, then filter that input through business goals, technical reality, and long-term vision. The hard part is saying no while still making customers feel heard and respected. Trust is the real bottleneck in AI adoption. Users worry about accuracy, intent, and outcomes, not just features. Transparency, incentives, and communication matter more than model sophistication. Adoption follows belief, not capability. Speaking engagements mirror product launches more than most people admit. Audience engagement, clarity of message, and post-event reflection directly impact how ideas land and spread. The best speakers treat every talk like user research for their thinking and their product story. This episode was recorded live at isolved Connect in Philadelphia, Pa. The Heroes of HR podcast is a limited series sponsored by isolved. isolved is an HCM platform that modernizes HR, benefits, and payroll across Healthcare, Hospitality, Manufacturing, and more. Learn more about isolved: https://www.isolvedhcm.com/ Chapters 00:00 The Platform and Its Role 02:17 The Future of Product Development and AI Integration 05:23 Balancing Customer Feedback and Business Goals 08:57 Adopting AI: Building Trust and Encouraging Use 11:35 Reflections on Speaking Engagements and Audience Engagement Guest: Sydney Ridge, Leader of Product Management, isolved LinkedIn: linkedin.com/in/sydney-ridge-b2a55871 Connect with Us William Tincup: https://www.linkedin.com/in/tincup/ Ryan Leary: https://www.linkedin.com/in/ryanleary/
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