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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
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 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.For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighHighMedium
Timedifferent
20–45 min1-4 WochenMehrere Tage bis Wochen45-60 min
Participantsdifferent
Small cross-functional group1-62-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsAssumption map, Test backlog, Risk ranking
Tagsno overlap
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
Root causeSafetySystemicIncident
AssumptionsRiskExperimentsValidation
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