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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.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.
Complexitydifferent
HighLowLow
Timedifferent
1-4 Wochen30 min Setup, dann laufend1-5 Tage
Participantsdifferent
1-61-3 maintaining, briefing for everyoneNutzertraffic
Formatsame
AsyncAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryRAID Log, Status Report SourceInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
RiskTrackingStakeholdersGovernance
ValidationExperimentsDemandGrowth
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis