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| Criterion |  UX Research Tree Testing |  Operations PDCA Cycle |  Operations 5 Whys |  Operations A3 Problem Solving |
|---|---|---|---|---|
Purposedifferent | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-2 Tage | 1 h bis mehrere Wochen | 15-30 min | 45-90 min |
Participantsdifferent | Based on research question | 1-8 | 2-6 | 2-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Root cause notes, Countermeasures | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | Information architectureNavigationFindability | Continuous improvementLeanExperiments | Root causeIncidentLeanProblem solving | LeanProblem solvingCoachingOperations |