The 10-Minute Product Podcast

The 10-Minute Product Podcast

Jonas Vang Gregersen and Christian Miccio review Product Management & Leadership concepts, frameworks, and talk about products they like. We'll walk through practical approaches and real-world examples that support Product Leaders in their day-to-day activity.

  1. 12/07/2025

    Close the Product Gap to company strategy

    In this episode of the *10-Minute Product Podcast*, we build on last week's topic of leading effective product reviews with executive stakeholders. This time, we zoom out and discuss what happens *outside* the review meeting: how to ensure your product strategy connects meaningfully with your company's strategy.Jonas and Christian explore why “product island” is such a common trap and how misalignment across strategy layers — from company vision to product roadmap — creates disconnects in communication, prioritization, and ultimately, value delivery.We share a practical case where a company struggled for months to build a coherent roadmap. The breakthrough came not from reprioritizing features, but from aligning executives on the *criteria* for prioritization. Once shared outcomes were defined, everything clicked into place, enabling consistent strategic decision-making.We also discuss:* Why measurable outcomes are the “glue” between company goals and product strategy* How product teams can proactively support a company in clarifying its own strategic metrics* How outcome-driven strategy empowers teams and prevents “feature factory” dynamics* Practical ways to connect your roadmap activities to company goals such as LTV, loyalty, or funnel improvements* How metrics create decision points and momentum rather than endless debateThe takeaway: Avoid running your product strategy in isolation. Lean in, anchor everything in measurable outcomes, and build a strong bridge between product and company strategy. This unlocks better communication, better prioritization, and better results.If you enjoyed this conversation, follow the podcast, leave feedback, and listen to more episodes!

    11 min
  2. 10/26/2025

    How to Measure Success with AI

    Over the past few weeks on The 10-Minute Product Podcast, we’ve explored how product leaders can approach AI — from identifying the right use cases to implementing solutions effectively. In this final episode of our AI trilogy, we bring it all together: 👉 How do you actually measure success with AI in your product portfolio? Here are some highlights from our discussion: 📏 Define success early Before you build anything, decide how you’ll measure success. What does “better” look like for your use case — faster, more accurate, higher conversion? Don’t wait to tack on metrics later. Make measurement part of your design phase. ⚙️ Bridge two scorecards Every AI system has a technical scorecard (precision, recall, drift) and a use case scorecard (user outcomes, business value). Success comes from connecting the two — aligning what the model optimizes with what your customers actually care about. 🧭 Communicate and engage AI is iterative and uncertain. The best product leaders turn that uncertainty into a story — sharing progress, setbacks, and insights transparently so stakeholders stay engaged and confident in the journey. 🏁 Think milestones, not moonshots Instead of betting big on year-long AI programs, break your work into small, measurable wins. Each milestone builds trust, learning, and momentum across the organization. As we discussed in the episode — everything is academic until a user clicks a button and finds value.

    13 min
  3. 09/23/2025

    Getting started with AI

    Everyone is talking about AI, but where do you actually start? The pressure on product leaders to "just add AI" can lead to costly mistakes and dead-end projects. In a trilogy on AI for product leaders, we start with the most important thing: use cases. AI is not a magic solution; it's a new tool for solving existing customer needs. Where should you start? Start by mapping your current use cases. What value do you deliver to customers today? AI doesn't change these needs, but it can change how you solve them. A company's use cases typically fall into two categories: Automation: Helping users complete tasks faster (e.g., time savings). Quality and Decision-Making: Ensuring quality or providing the user with data to make better decisions. The Journey to AI AI implementation is a maturity journey. Start simple and iterate. A global retailer began with a simple analysis of where products sold best and ended up with an advanced solution for hyperlocal marketing based on store data. Product methods like validation and user feedback are still essential. It is crucial to analyze existing use cases rather than starting "AI initiatives" without a clear purpose. This ensures faster results and better anchoring in the organization. Make room for experiments In addition to focusing on existing needs, it's important to give teams the freedom to experiment. The "crazy" ideas can turn out to be the biggest products of the future. AI development is unpredictable and requires short feedback loops. This was an overview of how to get started with AI by focusing on use cases. In the next episode, we will discuss "build vs. buy" and the implementation itself.

    11 min
  4. 09/09/2025

    Our Biggest Mistakes (And What They Can Teach You)

    The true test of leadership isn't avoiding mistakes—it's how you respond when they happen. This episode is a guide to leading yourself through those critical moments. Through their own stories of fumbles and flawed decisions, Jonas and Christian show how self-reflection and transparency can transform a simple error into your most valuable experience. Episode summary: In product leadership, making mistakes is an unavoidable part of taking risks. This episode explores the idea that the true measure of a leader isn't avoiding errors, but how they respond to them. The hosts discuss different types of mistakes—from simple oversights to avoiding necessary conflict—and offer a framework for handling them: stop, reflect, plan, and, most importantly, communicate transparently. Sharing learnings builds trust and transforms errors into invaluable experience, unlike "happy path" work. Through personal 'war stories,' they explore the painful consequences of delaying tough people decisions, ignoring fundamental disagreements with a boss for months, and overlooking technical 'data drift' in a machine learning system. Ultimately, the conversation emphasizes that leaders must model this behavior. By openly discussing their own fumbles, they create a culture where it's safe for teams to fail and learn. The key takeaway is to embrace mistakes and deal with them constructively, as they are the primary fuel for career progression and leadership evolution.

    11 min

About

Jonas Vang Gregersen and Christian Miccio review Product Management & Leadership concepts, frameworks, and talk about products they like. We'll walk through practical approaches and real-world examples that support Product Leaders in their day-to-day activity.