I run workshops around digital projects, products, AI and the way teams work with technology. Some follow a defined format, others are built around a specific challenge.

Workshops with a purpose

I like workshops when there is a clear reason for having one.

That might be defining the scope of a new website or platform, exploring where AI could actually be useful in a company, getting a team comfortable with new tools, or working through a problem that has been discussed for weeks without really moving forward.

The format depends on the topic, but the idea is always similar: bring the people who matter into the conversation, make assumptions visible and leave with something that can actually be used afterwards.

Open Project Framework

One of the workshops I run most often is based on the Open Project Framework.

The OPF is a card-based system for planning digital projects. It contains 84 modules across five phases, covering everything from the initial analysis and concept through design, development, launch and ongoing operation.

During the workshop, we put all the cards on the table and work through them together. Which parts does the project need? Which ones can we leave out? What are we unsure about? Where are the dependencies, risks and potential budget drivers?

Within half a day, a vague project idea becomes much more tangible. You leave with a defined scope, a better basis for estimating budget and timing, and a common understanding of what you are actually planning to build.

It works particularly well for websites, platforms, e-commerce projects, intranets and other larger digital projects where a lot of decisions need to be made before development starts.

AI workshops

AI is another topic where getting people together early can be extremely useful.

Most teams already have very different levels of experience. Some people use AI every day, others have barely touched it, and everyone has probably heard enough promises about what it will supposedly change.

My workshops start with the work your team is actually doing.

We look at existing processes, recurring tasks, bottlenecks and places where people spend more time than they probably should. From there, we explore where AI could help and which ideas are worth testing.

Depending on the team, this can include practical introductions to current AI tools, working with language models, prompting, research, content and knowledge work, automation, internal knowledge bases, prototyping or more specialised applications.

We also talk about the less exciting but equally important questions: where AI is unreliable, what should still be reviewed by a person, what happens to company data and where using AI simply doesn't make much sense.

The result is usually a shortlist of realistic use cases and a much clearer idea of what the team should try next.

Made for the question at hand

Not every challenge needs its own methodology.

I also put together workshops around specific projects or questions. This might be the start of a new digital product, defining requirements with different stakeholders, reviewing an existing platform, exploring an idea before committing to development or simply getting everyone aligned before a project moves into its next phase.

If there is something your team needs to figure out together, we can build the workshop around that.