I find that when people start to actually use Scrum, they often forget that they are supposed to be a team. They assign each individual a task or Product Backlog Item, and then that individual goes off and works on it alone.

Scrum Masters (at least in my part of the world) are often people seeking the transition to the role of a ‘Manager’ or a management position. However, when they land into this role amongst a highly technical team, they become clueless. This is because the one thing that they were moving away from became one of the most important aspects of their work - Technology. They have to deal with technology on a daily basis.

The APOM Guiding Principles are introduced as a set of principles to help organizations evaluate their operating models and avoid the trap of "mechanical Scrum" (focusing on mechanics over intent). This blog also addresses the impact of AI, which Dave believes will push organizations toward becoming faster, smaller, and flatter, provided they have a strong, evidence-based product operating model that adheres to the fundamentals: aligning teams to outcomes, enabling frequent delivery and learning, empowering ownership, and removing impediments.

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

If AI changes how you build, your Definition of Done should represent it. Let's check how.

When moving Scrum from software to hardware the first question will be: What can be achieved within a Sprint? or in other words: What will be an increment, when dealing with long build and test times? We, Jean-Pierre Berchez and Joachim Pfeffer, would like to share our industry practice in this blog post.

Scrum Mastery is a craft that requires the right environment and a clear focus on the value chain to truly take off. Drawing from a decade of experience, PST Simon Flossmann shares five essential steps I wish I had known sooner to help you master the role and deliver real impact.

In diesem Artikel erklärt PST Simon Flossmann 10 Warnsignale, die Führungskräfte bei der Wahl ihre Scrum Master achten sollten.

83% of Agile practitioners use AI, but most spend 10% or less of their time with it because they do not know where it fits. Learn more.

Strategies fail in translation: without an Operating Model + System aligned across AI, adaptation, and org speeds, metrics/authority/processes conflict and execution dies.

El enfoque de producto es una mentalidad que parte de centrarse en el cliente y sus necesidades para entregar valor de una manera ágil, flexible, adaptativa e innovadora. Es un cambio radical desde el enfoque de proyectos, que muchas veces se basa en hitos y tareas a cumplir dentro de un plan con un enfoque predictivo. Para una empresa que trata de moverse en un mercado complejo y busca la forma de realizar su estrategia de negocio para lograr ventaja competitiva, el enfoque de productos es ideal. Algunas características de este enfoque o mentalidad de producto se presentan en este post.

Struggling in a Scrum Master and Developer dual role? In this post by PST Robb Pieper, learn a 3-step framework to balance expertise with self-management, set technical guardrails, and build team independence.

Empiricism is the use of past facts and evidence for upcoming decision-making. Let's check it with a super simple explanation.

Most teams don’t struggle with Scrum events. They struggle with what the events are supposed to produce: transparency you can trust, inspection that changes minds, and adaptation you can see the next day. A quick reality check: signal → sense-making → action. No signal, no Scrum.

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

KI-Initiativen scheitern aus denselben Gründen wie agile Transformationen: Die meisten Misserfolge sind auf Menschen, Kultur und Prozesse zurückzuführen, nicht auf Technologie. Nutzen Sie die Antimuster-Checkliste der KI-Transformation, um zu erkennen, wo die Initiativen Ihres Unternehmens vom Kurs abweichen.

An order-taking Product Owner leads to backlog chaos and constant priority shifts. Learn why this behavior is a system issue and how teams can preserve clarity and self-management in this post by PST Robb Pieper.

A Inteligência Artificial pode reforçar a mestria em Scrum ao apoiar o Scrum Master e as Equipas Scrum a lidar com complexidade, melhorar a qualidade da aprendizagem diária e tomar decisões mais informadas. Quando usada de forma ética e alinhada com o empirismo, a IA torna-se uma aliada poderosa na criação contínua de valor, no progresso sustentado em direção aos objetivos e na melhoria da qualidade das soluções entregues.

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

O que você precisa saber: O APOM, potencializado por IA (Gemini/Rovo) e governado pelo EBM, permite que a estratégia de produto flua sem interrupções até o delivery técnico. O objetivo é reduzir o trabalho manual do "produteiro" e garantir que cada sprint entregue valor de negócio real, e não apenas código.

Most people think of negotiation as a formal process, i.e., contracts, vendors, and high-stakes deals. The thing is that product leaders negotiate every day, for instance, with stakeholders, teams, leadership, sales, and so on. These small decisions shape product outcomes.

In diesem Artikel beschreibt Mark Rehberg, warum echte Veränderung im Team nicht durch wohlklingende Visionen entsteht, sondern durch mutige, kleine Experimente im Alltag. Statt „Wir sollten…“ plädiert er für zeitlich begrenzte, überprüfbare Versuche, die Verhalten sichtbar verändern und Lernen ermöglichen. Der Scrum Master wird dabei nicht zum Visionär, sondern zum Ermöglicher eines sicheren Experimentierraums. So wird die Team-Vision nicht erklärt, sondern erlebt – Schritt für Schritt, ohne Perfektionsdruck, aber mit echter Wirkung.

When you limit work in progress, it makes pretty much everything from waterfall to Scrum better.

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

In diesem Artikel erklärt PST Simon Flossmann, wie Product Owner das Wunschkonzert in ihren Backlog beenden.

AI initiatives fail for the same reasons Agile transformations did: most failures stem from people, culture, and processes, not technology. Let me show ten prevailing failure patterns.

Org charts show control; influence networks show reality. Map the shadow org, find informal leaders/bottlenecks, and align authority/processes to cut friction and boost speed.

Psychological safety is foundational to Empiricism (Transparency, Inspection, Adaptation). If people are afraid to admit mistakes (like breaking the build), Empiricism dies. You can't have Empiricism without Safety.

Em 2026, o debate em Portugal já não é se as organizações devem adotar Scrum, mas sim como utilizá-lo de forma verdadeiramente profissional. Este artigo analisa o estado da formação Professional Scrum em Portugal, explorando a maturidade do mercado, a procura por competências Scrum, o impacto da formação na empregabilidade e nos salários, bem como os principais desafios e tendências emergentes. Com base em dados de adoção, mercado de trabalho e evolução organizacional, o artigo destaca o papel da formação rigorosa e alinhada com os princípios do Professional Scrum como fator crítico para a criação de valor sustentável em organizações portuguesas.

Learn how to leverage AI to create a step-by-step action plan to resolve the conflicts you see in the Scrum Team.

Most teams don’t implement Scrum theory—they implement meetings. This post uses the definition of “implement” to show what Scrum is actually trying to put into operation: transparency, inspection, and adaptation. You’ll get a blunt way to spot Scrum theatre (in 30 seconds) and a practical check after every event.

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.

There is a trend to blame Scrum for disappointing results, but the real issue is that Scrum was not implemented systemically. 10X ORG shifts the focus from frameworks to organizational design, using Org Topologies to deliberately map, assess, and continuously elevate how Scrum teams are positioned to serve business ambitions. It is not a transformation or a framework, but a practical design system—explained in an accessible business novel—to make organizations truly fit for purpose.

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?

In diesem Artikel teilt Daniel seine Schlüsse aus einer Umfrage in seinem Netzwerk. Er hat danach gefragt, wo sich Professionals 2026 ihre Impulse und Ideen holen - denn das hat sich offenbar gewandelt. Immersion Trainings sind beispielsweise eine kraftvolle Antwort darauf.

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

If tightening events haven’t improved delivery, morale, or outcomes, you’re probably fixing symptoms instead of the real constraint. In this post, PST Robb Pieper shows how to assess true Scrum team health and how to identify the one thing to fix first so multiple problems improve at once.

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

The article shows how Agile can degrade into local optimization: teams move faster, but the company loses flexibility and cost efficiency. It argues for a deliberate balance of centralization and decentralization aligned with strategy and product portfolio.

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.

Self-managing Scrum Teams don’t push back because they’re lazy, they push back because ownership hasn’t felt safe, real, or worth the risk. In the post PST Robb Pieper shares what actually works to build trust, set clear boundaries, and help teams take ownership without fear.

Scrum is designed for complex work. That kind of work can’t be reduced to checklists, scripts, or rigid instructions. It requires people who can think, experiment, apply their experience, and adapt when reality doesn’t match the plan.

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.

Self-managing teams are how strategy comes to life. They’re also how organizations know when strategy needs to shift. In this article, we explore the building blocks of self-managing teams, what keeps organizations stuck, and practices that help.

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.

In diesem Artikel beschreibt Mark Rehberg, wie eine Team-Vision Orientierung schafft und es für alle Beteiligten greifbarer macht, in welche Richtung es gehen soll. Der Scrum Master spielt dabei eine Schlüsselrolle: Er schafft Sicherheit, stellt die richtigen Fragen und begleitet das Team von der Vision zu echten Experimenten. So entsteht Zusammenarbeit mit Ownership – Schritt für Schritt, von innen heraus.