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Criterion
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.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.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
60-120 min1-2 h1-2 h Setup, laufend45-90 min
Participantsdifferent
3-62-82-62-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Opportunity Score Table, Top OutcomesDIBB document, Belief list, Bet list, Learning reportOpportunity Solution Tree, Experiment Backlog, Learning LogAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
PrioritizationDiscoveryOutcomesNeeds
StrategyDecisionAssumptionsHypothesis
DiscoveryOutcomesExperimentsOpportunity
AssumptionsRiskDecisionDiscovery
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