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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 for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowHighMediumLow
Timedifferent
Half day initial, dann laufend1-4 Wochen1-4 Wochen30-60 min
Participantsdifferent
Ein Team plus Stakeholder1-63-10 Kunden1-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Team API DocumentExperiment results, Decision log, Learning summaryConcierge Learnings, Service Blueprint, MVP RisksCompleted Experiment Canvas, Success Metric
Tagsno overlap
TeamAlignmentCommunicationService
ExperimentsGrowthAnalyticsValidation
MVPValidationServiceDiscovery
ExperimentsValidationDiscoveryHypothesis
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