In this two-part compilation, Christian and Jonas tackle one of the most common and least honestly discussed challenges in product leadership — landing in an organisation where something is fundamentally off, and figuring out what to do about it.

Part one is about diagnosis. Using a simple framework of three Ps — People, Product and Process — they walk through how to read the symptoms of a dysfunctional organisation, why interviewing across all levels matters more than any onboarding document, and how to bring your stakeholders along on the exploration journey rather than surprising them with a revolution later.

Part two is about the fix. Why starting small with one team beats announcing sweeping change, how to run hard structural decisions quietly through leadership before they go anywhere near the wider organisation, and why the sequence of changes matters as much as the changes themselves.

When you join a broken organisation, you are not doing product management anymore. You are doing change management. The sooner you pick up that playbook, the better your chances of actually making something better.

Product management is your craft. But walking into a broken organisation? That's a change management exercise.

In this episode, Christian and Jonas make the case that product leaders need to step outside the product playbook and borrow from change management, organisational design, and leadership theory.

The conversation covers the dangers of sparking a "revolution," why you should always run hard structural changes quietly through leadership before going wide, how to sequence people, process, and product changes so they land and stick — and how to stay standing when the headwinds come.

This will happen to everyone at some point in their career; joining an organisation where something is ‘wonky’. The trick is how to deal with it.

In this episode, Christian and Jonas break down the 3 Ps framework — People, Product and Process — and walk you through the exact method for diagnosing what's really wrong when you land in a new organisation.

You'll learn:

• Why being subtle when you join a new team is the biggest mistake you can make

• How to line up the right interviews from day one — and what to listen for

• The gap between what your internal team believes and what customers actually experience — and why that gap is your diagnosis

• How to spot People, Product and Process problems fast using real symptoms

• Why KPIs that don't measure your actual goals are worse than no KPIs at all

If you've ever joined a team and felt something was off but couldn't put your finger on it - this one's for you.

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!

In this episode, Christian and Jonas dig into a universal product leadership challenge: how do you translate complex product work into clear, high-impact decision-making at the executive level?

We explore why sharing detailed backlogs, plans, and spreadsheets in Product Reviews often derails discussions — and how shifting perspective from tasks to signals enables better alignment, trust, and outcomes.

Key topics include:

• Why more detail = more opinions and slower decisions

• Turning complexity into clear signals that show progress

• Linking commitments to measurable business impact

• Recognizing when requests for detail actually signal mistrust

• How to elevate roadmap conversations to strategic outcomes

The pressure on Product Leaders to integrate AI is immense. But where do you start? How do you implement it? And how do you know if it's even working?

In this special compilation episode, Christian and Jonas combine their essential 3-part AI trilogy into one definitive guide. They cut through the hype to give you a practical, step-by-step playbook for turning AI buzz into real product value.

In this episode, you will learn:

• Part 1: Where to Start

• • Why the "we need AI" panic is the wrong approach.

  • How to map your existing customer use cases (automation, quality, decision support) to potential AI solutions.

  • The importance of starting small, iterating, and validating, even while allowing for "wild experimentation."

• Part 2: How to Implement

• • The four fundamental pathways for AI implementation: Build, Rent, Borrow, and Acquire.

  • A practical framework for deciding which path is right based on speed, cost, control, and strategic importance.

• Part 3: How to Measure Success

• • How to define success metrics before you write a single line of code.

  • The critical art of bridging the "engine room" scorecard (technical metrics like precision and recall) with the "use case" scorecard (business metrics your stakeholders care about).

  • How to use iterative milestones and transparent communication to manage stakeholders and build trust.

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.

Your CEO just said, "We need 10 AI initiatives by Monday!." Now what? The pressure is on product leaders to integrate AI into our products, but the path forward is anything but clear. Making the wrong choice can cost you in development time or customer value.

In this episode, we break down the four fundamental pathways for AI implementation. We'll help you understand when to license a third-party API versus when to build a model from scratch, and what the less-known "Borrow" and "Acquire" options truly entail.

In this episode, you will learn:

• Acquire: When does the step of acquiring an entire AI company become the most strategic move?

• Build: Internalising the knowledge and AI capabilities inhouse and consequences in lead time that you need to consider

• Rent: When to go for the AI-as-a-Service from a 3rd party vendor.

• Borrow: The power of leveraging partnerships as a way to move you forward on the AI agenda.

• Decision Framework: A practical guide to help your team choose the right path based on speed, cost, control, and strategic importance.

This episode is essential listening for CTOs and Product Leaders tasked with turning the hype around AI into real product value.