Digital Consultant in the age of AI.

What do we want to find out?

Every loop starts with a question. Which assumption are we making? What are we unsure about? What would need to be true for the idea to work? The clearer the question, the easier it becomes to decide what we should test.

Which ideas are on the table?

We explore different ways of answering the question without getting too attached to the first idea. At this stage, range matters more than detail. Sketch it, discuss it, challenge it and keep the options open.

How can we make the idea tangible?

The prototype can be a few screens, a clickable design or working software. Its job is to make the idea real enough that people can use it and react to it. It doesn't have to be finished. It has to help us answer the question.

What did the prototype show?

We test, observe and listen. Where do people hesitate? What works immediately? What did we misunderstand? What happens that nobody predicted? Good feedback gives us evidence, not just opinions.

What can we do better?

Now we decide what the evidence means. We might refine the idea, simplify it, test another approach, build the next version or stop pursuing it altogether. Each round should reduce uncertainty and give us a better question for the next one.