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Selected:A/B Testing ARID (Active Reviews for Intermediate Designs)Empathy Mapping Affinity Diagramming

Criterion	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	UX Research Empathy Mapping	UX Research Affinity Diagramming
Purposedifferent	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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.	When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.
Complexitydifferent	High	Medium	Low	Low
Timedifferent	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	30–60 min	45–90 min
Participantsdifferent	1-6	Designers, developers as users, and facilitation	4-8	3-10
Formatdifferent	Async	Workshop + async	Workshop	Workshop
Outputdifferent	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Empathy Map, Assumptions List, Research Gaps	Theme clusters, Insight statements, Opportunity areas
Tagsno overlap	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	SynthesisQualitativeWorkshop	SynthesisQualitativeRoot cause

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