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Selected:Failure Scenario Analysis A/B Testing ARID (Active Reviews for Intermediate Designs)Assumption Mapping

Criterion	Engineering Failure Scenario Analysis	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Product Discovery Assumption Mapping
Purposedifferent	In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.	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.	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.	When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent	Medium	High	Medium	Medium
Timedifferent	1-3 h	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	45-60 min
Participantsdifferent	3-8	1-6	Designers, developers as users, and facilitation	2-8
Formatdifferent	Workshop	Async	Workshop + async	Workshop + async
Outputdifferent	Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Assumption map, Test backlog, Risk ranking
Tagsno overlap	FailureResilienceRisk	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	AssumptionsRiskExperimentsValidation

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