Knowledge & Practice
Blog
Articles on project management, agile methods and AI in everyday project work — a new one every other week.
Flow Efficiency: Where the 5–15% Figure Comes From — and Why No Normal Value Holds Up
The rule of thumb turns up in talks, training decks and tooling. A search for the primary source comes up empty — and the one published measurement says something different.
AI in Project Management — Where It Helps and Where It Doesn't
Where artificial intelligence genuinely takes work off your hands in projects, where it reliably gets things wrong, and what the legal position is — along with the pattern behind both.
Stakeholder analysis — why the list can be complete and the analysis still worthless
How a stakeholder analysis is structured, which matrix works when, and where a language model helps — including the part it must not see for data protection reasons.
Creating a Work Breakdown Structure — What a Language Model Takes Off Your Plate and What It Doesn't
How a work breakdown structure is built, which structure holds up when, and where a language model helps you create one — and where it reliably gets things wrong.
Agile Project Management: Course, Training or Qualification — Which Fits When?
Course, training, workshop, qualification: the words are used interchangeably but describe formats with very different outcomes. A guide to sorting it out before time and budget are committed.
The AI Act is not a compliance project. It is a maturity test.
Most companies treat the AI Act as a compliance issue. The real problem is a different one: hardly anyone knows which AI is actually running in the organisation.
Agile transformation: workshop, training or consulting — what fits when?
Workshop, training or consulting — when each format of an agile transformation helps, and what makes most initiatives fail.
The Cynefin Framework: Why the Situation Determines the Method
Scrum isn't the right fit for every project. The Cynefin Framework shows when Scrum helps – and when classical PM is the better choice. Including a SpaceX/Boeing example.
SpaceX flies. Boeing struggles. What this has to do with your choice of methodology.
Boeing got more money. SpaceX won. What the NASA contract teaches us about methodology choice in project management – and what this means for your projects.
From Project to Platform: Why I'm Building a Course on AI in Project Management
One project, one insight, one course. How lived project experience led to the decision to develop "AI in Projects".
AI in Projects: How Well Is It Really Being Implemented in Germany?
41% of German companies are actively using AI – but how well does it actually work in projects? An honest look at the numbers, stumbling blocks, and what really counts in practice.
The 3-Level Alignment Model: My Kickoff Framework for Projects That Actually Want to Get Started
The 3-Level Alignment Model — objectives, roles, expectations — and a template you can apply right away.
Theory Meets Practice: What a PRINCE2 Training Course Teaches Us About the Real Reasons Projects Fail
PRINCE2 doesn't fail. Projects fail. And most of the time, not because nobody knows the method. But because nobody applies it consistently. In one of my recent PRINCE2 trainings, I asked:
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