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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
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 process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.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
HighHighHighMedium
Timedifferent
2-12 Wochen2-6 h1-4 Wochen45-60 min
Participantsdifferent
3-103-101-62-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanFMEA Table, Risk Priority, Mitigation ActionsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
Continuous improvementQualityProcess improvement
RiskQualityOperationsRoot cause
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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