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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
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 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.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.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
Wochen bis Monate je Lernzyklus30-90 min30-90 min45-75 min
Participantsdifferent
2-82-81-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption ListTest Matrix, Test Plan
Tagsno overlap
LeanStartupValidationMVP
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
ExperimentsValidationDiscoveryOptions
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