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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
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
LowLowLowHigh
Timedifferent
15-45 min45–90 min1-5 Tage1-4 Wochen
Participantsdifferent
1-33-10Nutzertraffic1-6
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
ADR File, Decision Log, RationaleTheme clusters, Insight statements, Opportunity areasInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
SynthesisQualitativeRoot cause
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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