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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
HighLowLowHigh
Timedifferent
2-12 Wochen30 min Setup, dann laufend1-5 Tage1-4 Wochen
Participantsdifferent
3-101-3 maintaining, briefing for everyoneNutzertraffic1-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanRAID Log, Status Report SourceInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementQualityProcess improvement
RiskTrackingStakeholdersGovernance
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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