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Selected:ARID (Active Reviews for Intermediate Designs)Goal Question Metric North Star Metric A/B Testing

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Engineering Goal Question Metric	Growth North Star Metric	Growth A/B Testing
Purposedifferent	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.	Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.	When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.	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	Medium	Medium	Medium	High
Timedifferent	2–4 h review as a planning range; preparation and evaluation additional	90-180 min	1-2 h	1-4 Wochen
Participantsdifferent	Designers, developers as users, and facilitation	3-6	3-8	1-6
Formatdifferent	Workshop + async	Workshop	Workshop + async	Async
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	GQM Table, Metric Profiles	North Star metric, Input metric tree, Measurement cadence	Experiment results, Decision log, Learning summary
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	MetricsMeasurementEngineeringAlignment	GrowthMetricsAlignmentRetention	ExperimentsGrowthAnalyticsValidation

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