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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.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 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.
Complexitydifferent
HighLowHighLow
Timedifferent
2-12 Wochen30 min Setup, dann laufend1-4 Wochen30-60 min
Participantsdifferent
3-101-3 maintaining, briefing for everyone1-61-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanRAID Log, Status Report SourceExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
Continuous improvementQualityProcess improvement
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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