In this blog, I explain the motivation behind the creation of the new self-paced training course, "Effective Stakeholder Collaboration for Scrum Teams" that I created with Glaudia Califano and is endorsed by Scrum.org.

Has it ever happened on your Scrum Team, that you get into a Sprint Planning session and by the end of it, it still feels that there is no plan for the Sprint?

Do you want to know what the difference is between an AI Agent and Agentic AI?! Then read this short blog.

Agiles KI-getriebener Paradigmenwechsel: strategisch, produktbezogen und individuell.

How do you enter a lengthy prompt to an AI system that you use regularly? Let me show you a powerful way that saves you a lot of time.

Three types of product groups and how to choose between virtual, partially dedicated, and semi‑autonomous configurations based on how tightly your business portfolio is connected.

A practical way to leverage AI to increase the Sprint Planning effectiveness.

Learn how to leverage AI to generate insights out of your current value of DORA metrics and generate a list of improvements to move toward achieving your desired value of the metrics.

In diesem Artikel listet PST Simon Flossmann 21 Fehler, die sich beim Schätzen einschleichen.

The paradigm shift is here. Andrej Karpathy, former Tesla AI director and OpenAI co-founder, recently admitted he has never felt this far behind as a programmer. If Karpathy feels overwhelmed, how should the rest of us feel?

We cling to org charts not out of ignorance but out of psychology: hierarchies feel safe, validate careers, and coordinate work. Replace them without new structures - and chaos follows.

Velocity is a widely used practice in Agile environments. But it has a big potential to be used in the wrong ways. Let's check them and see how to use velocity in a proper way.

Impediments are those blockers that prevent the Scrum Team from achieving the Sprint Goal. You can leverage AI to effectively help you with the removal process.

What makes a Sprint valuable? If at the end of the Sprint, the Scrum Team is able to meet the goal and stakeholders, users expectations. A Sprint is not just about delivering functionality, it is an opportunity to experiment and validate assumptions about what Value is being created or delivered. ...

Release Notes are not documentation. They are part of your product’s conversation with the world. In this blog, you will learn how to write effective Release Notes.

To move toward your ultimate goal, you need some mid-term steps called Product Goals. Here, I show you how to effectively create it with the power of AI.

The world isn’t slowing down. Technology is evolving faster than most organizations can keep up and we all know requirements are constantly changing. But we don’t need a better plan - we need better ways to learn, and we need to keep our options open.

A practical way to leverage AI to increase the Daily Scrum effectiveness.

KI-Agenten versprechen schon seit langem Produktivitätssteigerungen, aber bisher verlangten sie Programmierkenntnisse, die den meisten agilen Praktikern fehlen oder die sie nicht beherrschen. In diesem Artikel teile ich meine ersten Eindrücke darüber, wie Claude Cowork diese Barriere beseitigt.

Modern org charts were built for slow, one-way telegraph communication. Today's instant, multi-directional flow turns hierarchy into bottlenecks - slowing decisions, diluting insight, and killing innovation.

If you drive your car without a destination, you are NOWHERE at the end of the day. The Sprint Goal is the destination of your Sprint trip. You should learn how to effectively create it.

In this Q&A episode of the Scrum.org Community Podcast, Eric Naiburg, COO of Scrum.org, is joined by Darrell Fernandes, Executive Advisor at Scrum.org to explore how AI is showing up in Scrum Teams today—and what it really takes to make it valuable. (20:10)

Scrum is everywhere, but too often it’s not delivering the results leaders expect. Join PSTs Robb Pieper and Jason Malmstadt of Responsive Advisors and Scrum.org as they unpack the most common reasons Scrum fails to deliver real value.

The "Definition of Done" (DoD) is a core Scrum element. As teams integrate AI agents (like Devin or Cursor) into the Sprint, the DoD must evolve to include "hallucination checks" and "bias testing." This is a highly relevant, practical guide for modern Scrum Teams.

If you don't use the Definition of Done in your Scrum Team, read this blog.

Das A3-Rahmenwerk kategorisiert die KI-Delegation, bevor Sie diese veranlassen: Assist (KI entwirft, Sie überprüfen und entscheiden aktiv), Automate (KI führt nach expliziten Regeln und Prüfungskadenzen aus) oder Avoid (bleibt vollständig beim Menschen, wenn ein Versagen das Vertrauen oder eine Bezi...

How often have you heard the word Empiricism in connection with Scrum? I believe almost every time someone says Scrum, they do bring up Empiricism.

AI agents have long promised productivity gains, but until now, they demanded coding skills that most agile practitioners lack or are uncomfortable with. In this article, I share my first impressions on how Claude Cowork removes that barrier.

Free up your time to focus more on the human-centric and strategic activities as a Product Pro by leveraging AI Agents.

This blog explains how Product Goals set strategic direction while OKRs make progress measurable through behaviour focused Key Results. It shows how both tools support evidence based decisions, prevent output driven thinking, and help Scrum Teams stay aligned, learn faster, and deliver value with cl...

What will you get if you invest your time and money in learning AI?! Let's dissect it.

I'm sure you've all heard this one: If a tree falls in the woods and no one is around to hear it, does it make a sound? It seems to me that a lot of organizations lately have changed this question to: If you don’t track your work with a ticket, did it really happen?

With your AI transformation, others perceive you differently in your professional network, which opens new doorways for you. But how?!

In diesem Artikel gibt PST Simon Flossmann 3 Gründe, warum Scrum Master sich zum Produkt-Coach entwickeln sollten

Stop asking 'Can AI do this?' Start asking 'Should AI do this?'

AI forces organizations to align machine speed with governance and funding. In doing so, it structurally closes Product Ownership's authority gap - distributed decisions, adaptive governance, and outcome funding become unavoidable.

Somewhere along the way, when "Agile Consultants" began rebranding the Scrum Master as exclusively a "Coach," the role became dangerously hands-off. The result? A generation of Scrum Masters who are disconnected from the reality of product development.

This case study examines through an Evidence-Based Management (EBM) lens what happens when teams operate on rebuilt technical foundations owned by their investor.

Temporary fixes are supposed to be temporary. That's why Technical Debt should be on the Product Owner's radar.

In my practice, I get the chance to talk to a lot of different individuals from many organizations. Here are some of the things that really stood out to me about 2025.

AI changes what work is visible. It does not change what matters in work.

AI is closing the Product Owner data gap by accident. Revenue accountability finally meets real-time access - but decision rights, funding, and governance still lag. Dashboards don't equal authority.

In vielen Unternehmen hängen die Werte und Prinzipien des Agilen Manifests (wenn überhaupt) irgendwo an der Wand – zwischen Vision-Statement und Kaffeeküche. Gelebt werden sie selten. Stattdessen wird Scrum eingeführt wie ein neues Prozesshandbuch: Meetings ersetzen Denken, Jira ersetzt Verantwortun...

The Scrum Guide is short—but every word is packed with intent. In this series, we explore its language one post at a time, connecting each phrase to real-world professional Scrum practice. You’ll never look at “collective intelligence” or “relationships and interactions” the same way again.

Many organizations bought Microsoft Copilot and “turned it on” without changing how they actually work. In APOM terms, Copilot is stuck inside a project‑centric operating model. This post shows how treating “Copilot enablement” as a product with its own Agile Product Operating Model can turn license...

Singapore ranks 4th globally in innovation, yet teams hesitate on experiments. The paradox? The system is pro-innovation, but individuals can't afford visible mistakes. Here's what research reveals about risk aversion and true agility in Singapore.

All the first steps you need to know to start your AI journey in product management.

Product leaders own revenue, but many companies still run feature factories—leaving Product Owners accountable without the authority, data, or stable teams to deliver. Fixing it requires outcome-based governance and Evidence-Based Management measurement.

There’s an old expression, don’t gild the lily. It means to try not to over decorate something that’s already beautiful on its own. Sometimes I want to tell a Product Owner that I am working with not to gild the lily by overloading their requirements with solutions.

92% of organizations are increasing AI investment, yet only 1% achieve operational integration - not because of technology, but because they're running AI on industrial-age operating systems designed for stability, not evolution.