Expert Training & Management | Agile Product Management and Scrum
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Over the past few years, many product teams have built AI fluency and started to apply AI to their work and products. That's great, but it is not enough to fully leverage AI in product management. Without the right product operating model in place, AI delivers only limited benefits. In this episode, I explain why this is and how you can create an effective product management approach that is optimised for AI.
“If you are working on something exciting that you really care about, you don’t have to be pushed. The vision pulls you,” Steve Jobs once said. Creating such a forward momentum is a key benefit that a product vision should offer. Unfortunately, I’ve seen many visions that failed to move people. In this episode, I explain how you can create a truly inspirational vision that engages and motivates people.
As product management becomes increasingly data-driven and AI-powered, one human capability is growing in importance: emotional intelligence. In this episode, you'll discover why emotional intelligence is a critical complement to data, analytics, and AI, how it helps product managers and product leaders create better products and build stronger relationships, and why it may have a greater impact on product success than intellectual ability alone. You'll also learn practical techniques for strengthening your emotional intelligence—from increasing self-awareness and self-management to developing
One of the biggest mistakes I see product managers make is making decisions in isolation: Deciding on strategy without considering how it impacts product discovery and delivery, or determining UX and features without letting strategy guide those choices. Great products, however, aren’t built by separating strategy from execution. They’re created by connecting them. That’s exactly why I developed my product strategy model—a simple but powerful way to link product vision, strategy, roadmap, and backlog. This episode describes the framework in its latest, revised version.
Is it a good thing when product managers are hands-on and use AI to build prototypes and generate code? Will it increase productivity and job satisfaction? Will it deliver better products faster? Or will it result in poorly designed applications full of technical debt that nobody wants and needs?
Product outcomes define the specific value a product creates—for users, customers, and the business. When applied correctly, they align stakeholders, create focus, and give development teams clear direction. But getting them right isn’t easy. Too often, product teams choose outcomes that are vague, oversized, or worse, features dressed up as goals. The result? Confusion, misalignment, and roadmaps that look strategic but fail to drive meaningful impact. In this podcast episode, I’ll address these issues and provide practical advice to help you define the right outcomes that help you achieve pr
In this episode, I explain how you can successfully implement the product operating model—based on my experience of helping companies introduce and improve a product-led way of working over the past 15 years.
Every product has a strategy. But not all product strategies are clearly articulated, let alone communicated and understood. This can lead to confusion and misalignment: Different people have different ideas about what the actual strategy is and disagree on which features should be implemented. But it doesn’t have to be this way. In this episode, I describe a clear, five-step process that helps you build an effective strategy for an existing product and create clarity and alignment.
Product teams play a key role in solving user problems and achieving product success. But who should lead the team and manage its work? The Head of Product, the product manager, or someone else? In this episode, I explain why product teams should be self-managing. I describe the benefits this approach offers and what it takes to succeed at self-management.
AI has significantly impacted product management. But so far, most product teams have used it to create new features and discover and deliver products faster. While helpful, this approach overlooks the area that most determines product success: strategy. In this episode, I’ll explain how to move beyond execution and use AI as a strategic partner—helping you create a product strategy that achieves lasting success.
