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Criterion
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 for Root Cause Analysis.
Operations
Root Cause 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
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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighMediumMedium
Timedifferent
2-6 h1-4 Wochen1-4 h45-60 min
Participantsdifferent
3-101-63-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
FMEA Table, Risk Priority, Mitigation ActionsExperiment results, Decision log, Learning summaryProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanAssumption map, Test backlog, Risk ranking
Tagsno overlap
RiskQualityOperationsRoot cause
ExperimentsGrowthAnalyticsValidation
Root causeProblem solvingQualityIncident
AssumptionsRiskExperimentsValidation
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