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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.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
HighLowMediumLow
Timedifferent
1-4 Wochen20–45 min1-5 Tage45-90 min
Participantsdifferent
1-6Small cross-functional groupNutzertraffic2-8
Formatdifferent
AsyncWorkshopAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryRisk list, Mitigation plan, Assumption logClick Data, Interest Signal, Learning DecisionAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
RiskDecisionFailurePlanning
ValidationExperimentsDemandDiscovery
AssumptionsRiskDecisionDiscovery
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