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Criterion
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Views and Beyond method illustration showing its working structure
Architecture
Views and Beyond
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.Views and Beyond organizes architecture into several views so no single diagram has to do everything at once. This makes it possible to choose the representation that fits the stakeholder's question.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
1-2 Wochen1-3 Tage15-45 min1-4 Wochen
Participantsdifferent
1-61-41-31-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Experiment card, Result summary, Next betArchitecture Views, Cross-view Notes, RationaleADR File, Decision Log, RationaleExperiment results, Decision log, Learning summary
Tagsno overlap
MarketingGrowthExperimentsLearning
DocumentationStakeholdersArchitecture
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
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