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Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighLowLowLow
Timedifferent
1 Tag bis mehrere Wochen45-90 min30-60 min1-2 h
Participantsdifferent
4-102-83-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsAssumption List, Critical Assumptions, Learning PlanRisk Matrix, Top Risk ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
InnovationPrototypeResearch
AssumptionsRiskDecisionDiscovery
RiskDecisionPrioritizationAssessment
StrategyDecisionAssumptionsHypothesis
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