What's the problem?
Product teams often debate ideas, solutions, and priorities without being clear about what they are actually uncertain about.
Decisions are made based on opinions, intuition, or seniority. Risk is discussed vaguely, if at all. By the time teams learn whether something works, significant delivery effort has already been invested.
This leads to wasted time, sunk costs, and difficult conversations when outcomes do not match expectations.
What’s the solution?
This workshop introduces a hypothesis-driven way of working through two closely connected practices: making assumptions explicit and practising how to test them before building.
Teams learn how to surface the assumptions behind a solution and structure them around different types of product risk. From there, they select one high-risk assumption and work through how to turn it into a clear hypothesis and a concrete experiment with explicit success criteria.
The focus is not on running experiments for their own sake, but on using experimentation deliberately to reduce the risk that matters most before committing delivery effort.
Identifying hidden assumptions behind product ideas and solutions.
Understanding different types of product risk.
Structuring assumptions and prioritising them based on risk and evidence.
Turning assumptions into clear, testable hypotheses
Designing experiments with explicit learning goals and success criteria
Who It’s For?
Product managers and product owners
Cross-functional product teams
Product trios and squads
Teams working on new ideas, features, or strategic bets
For product teams who want to learn before they commit.
How it works
The workshop is designed to work both remote and on-site.
Participants work on one real product case from their own context, which is selected in advance together with me. All exercises build on this case, so teams experience the full flow from uncertainty to learning in a realistic setting.
The work starts with making assumptions explicit and visible. Based on that, teams select a high-risk assumption and practise writing a strong hypothesis and a concrete experiment, including how success would be measured.
The workshop builds confidence in deciding what to test, why to test it, and what to do next.
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