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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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 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 Wochen45-60 min20–45 min1-5 Tage
Participantsdifferent
1-62-8Small cross-functional groupNutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingRisk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
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