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Criterion
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
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
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.Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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
LowLowLowHigh
Timedifferent
30 min Setup, dann laufendStunden bis wenige Tage1-5 Tage1-4 Wochen
Participantsdifferent
1-3 maintaining, briefing for everyone1-4Nutzertraffic1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
RAID Log, Status Report SourcePretotyping sketch, Test setup, Conversion data, Go or no-go decisionInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskTrackingStakeholdersGovernance
ValidationDemandMVP
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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