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Criterion
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
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 topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
LowMediumLowLow
Timedifferent
45-90 min3-14 Tage1-2 h20-35 min
Participantsdifferent
2-850+2-81-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Assumption List, Critical Assumptions, Learning PlanSurvey Results, Charts, Segment InsightsDIBB document, Belief list, Bet list, Learning reportTest Card with a pre-set threshold
Tagsno overlap
AssumptionsRiskDecisionDiscovery
QuantitativeResearchValidation
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
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