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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 Smoke Test.
Product Discovery
Smoke Test
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.
Complexitydifferent
LowHighLowMedium
Timedifferent
30 min Setup, dann laufend1-4 Wochen1-5 Tage1-3 h
Participantsdifferent
1-3 maintaining, briefing for everyone1-6Nutzertraffic1-5
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
RAID Log, Status Report SourceExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
AnalyticsConversionGrowth
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