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Criterion
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
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
Purposedifferent
For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.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.
Complexitydifferent
MediumHighHighMedium
Timedifferent
1-3 h2-6 h1-4 Wochen45-60 min
Participantsdifferent
2-83-101-62-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Cause Tree, Evidence Notes, CountermeasuresFMEA Table, Risk Priority, Mitigation ActionsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
Root causeTreeIncidentQuality
RiskQualityOperationsRoot cause
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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