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Selected:Architecture Decision Record A/B Testing Growth Experiment ARID (Active Reviews for Intermediate Designs)

Criterion	Architecture Architecture Decision Record	Growth A/B Testing	Growth Growth Experiment	Architecture ARID (Active Reviews for Intermediate Designs)
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 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.	ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.
Complexitydifferent	Low	High	Medium	Medium
Timedifferent	15-45 min	1-4 Wochen	1-2 Wochen	2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent	1-3	1-6	1-6	Designers, developers as users, and facilitation
Formatdifferent	Async	Async	Workshop + async	Workshop + async
Outputdifferent	ADR File, Decision Log, Rationale	Experiment results, Decision log, Learning summary	Experiment card, Result summary, Next bet	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap	ArchitectureRationaleDocumentationGovernance	ExperimentsGrowthAnalyticsValidation	MarketingGrowthExperimentsLearning	ArchitectureEngineeringFeedbackValidationTasks

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