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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowLowHighLow
Timedifferent
1-2 h45-90 min1-4 Wochen30-60 min
Participantsdifferent
2-82-86-30 Experten1-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportAssumption List, Critical Assumptions, Learning PlanExpert Forecast, Consensus Range, Assumption NotesCompleted Experiment Canvas, Success Metric
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskDecisionDiscovery
ForecastingExpertsDecisionStrategy
ExperimentsValidationDiscoveryHypothesis
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