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| Criterion |  Growth A/B Testing |  Architecture ARID (Active Reviews for Intermediate Designs) |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 2-6 h | 15-30 min |
Participantsdifferent | 1-6 | Designers, developers as users, and facilitation | 3-10 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | 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 | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ArchitectureEngineeringFeedbackValidationTasks | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |