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| Criterion |  UX Research Tree Testing |  Product Strategy Lean Canvas |  Operations Root Cause Analysis |  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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 Tage | 45-90 min | 1-4 h | 45-90 min |
Participantsdifferent | Based on research question | 1-6 | 3-8 | 2-5 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Lean Canvas, Core Assumptions, Experiment Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | Information architectureNavigationFindability | StartupLeanAssumptionsBusiness model | Root causeProblem solvingQualityIncident | LeanProblem solvingCoachingOperations |