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Criterion
Paper illustration of Team API with its method-specific working model.
Team Design
Team API
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Purposedifferent
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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.
Complexitydifferent
LowHighMediumMedium
Timedifferent
Half day initial, dann laufend1-4 Wochen60-90 min1-4 Wochen
Participantsdifferent
Ein Team plus Stakeholder1-63-83-10 Kunden
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Team API DocumentExperiment results, Decision log, Learning summaryPrioritization Canvas, Hypothesis BacklogConcierge Learnings, Service Blueprint, MVP Risks
Tagsno overlap
TeamAlignmentCommunicationService
ExperimentsGrowthAnalyticsValidation
ExperimentsPrioritizationDiscoveryHypothesis
MVPValidationServiceDiscovery
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