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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
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumMediumLowLow
Timedifferent
30-90 minWochen bis Monate je Lernzyklus30-120 min30-90 min
Participantsdifferent
1-62-82-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListHypothesis list, MVPs, Learning reports, Pivot or persevere decisionObservation Notes, Improvement IdeasConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
DecisionTreeOptions
LeanStartupValidationMVP
LeanObservationProcessOperations
ConstraintsDecisionPlanningOptions
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