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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Team API with its method-specific working model.
Team Design
Team API
Paper illustration for Fake Door Test
Product Discovery
Fake Door 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.When expectations between teams stay fuzzy, it describes how a team can be reached, used, and held accountable. It clarifies responsibility, interaction, and load between teams. The result is captured as a Team API document.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighLowMedium
Timedifferent
1-4 WochenHalf day initial, dann laufend1-5 Tage
Participantsdifferent
1-6Ein Team plus StakeholderNutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryTeam API DocumentClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
TeamAlignmentCommunicationService
ValidationExperimentsDemandDiscovery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card