Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

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

Criterion	Engineering Failure Scenario Analysis	Architecture ARID (Active Reviews for Intermediate Designs)	Product Discovery Assumption Mapping	Growth A/B Testing
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.	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.	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	1-3 h	2–4 h review as a planning range; preparation and evaluation additional	45-60 min	1-4 Wochen
Participantsdifferent	3-8	Designers, developers as users, and facilitation	2-8	1-6
Formatdifferent	Workshop	Workshop + async	Workshop + async	Async
Outputdifferent	Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Assumption map, Test backlog, Risk ranking	Experiment results, Decision log, Learning summary
Tagsno overlap	FailureResilienceRisk	ArchitectureEngineeringFeedbackValidationTasks	AssumptionsRiskExperimentsValidation	ExperimentsGrowthAnalyticsValidation

Add more methods