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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen1-3 h1-2 h1-5 Tage
Participantsdifferent
1-62-82-8Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryGap Matrix, Action Plan, Risk NotesDIBB document, Belief list, Bet list, Learning reportInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
StrategyAnalysisPlanning
StrategyDecisionAssumptionsHypothesis
ValidationExperimentsDemandGrowth
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