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Selected:Assumption Mapping ARID (Active Reviews for Intermediate Designs)After-Action Review A/B Testing

Criterion	Product Discovery Assumption Mapping	Architecture ARID (Active Reviews for Intermediate Designs)	Operations After-Action Review	Growth A/B Testing
Purposedifferent	When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.	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.	After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.	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	Low	High
Timedifferent	45-60 min	2–4 h review as a planning range; preparation and evaluation additional	20-45 min	1-4 Wochen
Participantsdifferent	2-8	Designers, developers as users, and facilitation	3-12	1-6
Formatdifferent	Workshop + async	Workshop + async	Workshop + async	Async
Outputdifferent	Assumption map, Test backlog, Risk ranking	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Lessons learned, Action items, Event summary	Experiment results, Decision log, Learning summary
Tagsno overlap	AssumptionsRiskExperimentsValidation	ArchitectureEngineeringFeedbackValidationTasks	LearningOperationsImprovement	ExperimentsGrowthAnalyticsValidation

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