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Criterion
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 for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 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.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.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
LowHighMediumLow
Timedifferent
30 min Setup, dann laufend1-4 Wochen15-45 min30-60 min
Participantsdifferent
1-3 maintaining, briefing for everyone1-61-81-5
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
RAID Log, Status Report SourceExperiment results, Decision log, Learning summaryPERT Estimate, Expected Value, Risk NotesCompleted Experiment Canvas, Success Metric
Tagsno overlap
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
EstimationUncertaintyRisk
ExperimentsValidationDiscoveryHypothesis
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