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Criterion
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
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Purposedifferent
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.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.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.
Complexitydifferent
LowHighLowMedium
Timedifferent
15-45 min1-4 Wochen30-60 min60-90 min
Participantsdifferent
1-31-61-53-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
ADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success MetricPrioritization Canvas, Hypothesis Backlog
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
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