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Criterion
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.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
MediumLowLowLow
Timedifferent
1-2 Wochen45-90 min45-90 min1-2 h
Participantsdifferent
1-62-83-122-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Experiment card, Result summary, Next betAssumption List, Critical Assumptions, Learning PlanForce Field Map, Change Levers, Risk NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
MarketingGrowthExperimentsLearning
AssumptionsRiskDecisionDiscovery
ChangeDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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