Problem framing
Separate symptoms, assumptions and constraints from the underlying decision.
A decision-making workshop for leaders who need to choose well when the data is incomplete, the situation is changing and the obvious answer may still be wrong.
Discuss a workshop →Organisations often focus on choosing the right answer from the options presented. This workshop steps back: are we solving the right problem, using the right evidence and understanding what the decision will change?
Separate symptoms, assumptions and constraints from the underlying decision.
Test whether the available data is relevant, representative and sufficient.
Recognise what is unknown and avoid hiding uncertainty behind false precision.
Make consequences, opportunity costs and competing objectives explicit.
Identify how incentives, confidence and organisational dynamics shape choices.
Design decisions that generate evidence and allow responsible correction.
The workshop can be adapted to the participants, decision context and time available. Contact us to discuss the right format.
We will help you determine where AI can create practical value and what the next step should be.