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Criterion
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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 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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.
Complexitydifferent
LowMediumLowMedium
Timedifferent
30-90 minWochen bis Monate je Lernzyklus20–45 min30-90 min
Participantsdifferent
2-82-8Small cross-functional group1-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Constraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption List
Tagsno overlap
ConstraintsDecisionPlanningOptions
LeanStartupValidationMVP
RiskDecisionFailurePlanning
DecisionTreeOptions
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