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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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
MediumMediumLowMedium
Timedifferent
30-90 minWochen bis Monate je Lernzyklus30-120 min45-90 min
Participantsdifferent
1-62-82-62-5
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListHypothesis list, MVPs, Learning reports, Pivot or persevere decisionObservation Notes, Improvement IdeasA3 Report, Action Plan, Root Cause Analysis
Tagsno overlap
DecisionTreeOptions
LeanStartupValidationMVP
LeanObservationProcessOperations
LeanProblem solvingCoachingOperations
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