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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 of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 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.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
HighLowLowLow
Timedifferent
1-4 Wochen20–45 min30-60 min45-90 min
Participantsdifferent
1-6Small cross-functional group1-52-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryRisk list, Mitigation plan, Assumption logCompleted Experiment Canvas, Success MetricAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
RiskDecisionFailurePlanning
ExperimentsValidationDiscoveryHypothesis
AssumptionsRiskDecisionDiscovery
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