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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowLowHighLow
Timedifferent
30 min Setup, dann laufendStunden bis wenige Tage1-4 Wochen1-5 Tage
Participantsdifferent
1-3 maintaining, briefing for everyone1-41-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
RAID Log, Status Report SourcePretotyping sketch, Test setup, Conversion data, Go or no-go decisionExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskTrackingStakeholdersGovernance
ValidationDemandMVP
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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