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Criterion
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for DACI
Decision Making
DACI
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.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
LowLowLowHigh
Timedifferent
30 min Setup, dann laufend1-5 Tage30-60 min1-4 Wochen
Participantsdifferent
1-3 maintaining, briefing for everyoneNutzertraffic2-101-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
RAID Log, Status Report SourceInterest Metrics, Conversion Signal, Learning NoteDACI Matrix, Decision Owner, Decision LogExperiment results, Decision log, Learning summary
Tagsno overlap
RiskTrackingStakeholdersGovernance
ValidationExperimentsDemandGrowth
DecisionRolesGovernanceAlignment
ExperimentsGrowthAnalyticsValidation
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