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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
A3 Problem-Solving workspace showing the question, observations, and next decision.
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 a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
MediumMediumMediumMedium
Timedifferent
1-2 Tage0.5-5 TageWochen bis Monate je Lernzyklus45-90 min
Participantsdifferent
Based on research question4-102-82-5
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateHypothesis list, MVPs, Learning reports, Pivot or persevere decisionA3 Report, Action Plan, Root Cause Analysis
Tagsno overlap
Information architectureNavigationFindability
LeanContinuous improvementOperations
LeanStartupValidationMVP
LeanProblem solvingCoachingOperations
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