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Criterion
Paper illustration for Golden Path
Engineering
Golden Path
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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 teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate.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.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
1-3 Tage Setup, laufend1-2 Wochen15-45 min1-4 Wochen
Participantsdifferent
2-81-61-31-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Golden Path Guide, Templates, Quality ChecksExperiment card, Result summary, Next betADR File, Decision Log, RationaleExperiment results, Decision log, Learning summary
Tagsno overlap
EngineeringProductivityGovernance
MarketingGrowthExperimentsLearning
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
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