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| Criterion |  Decision Making Decision Tree |  Decision Making Constraint Analysis |  Innovation Lean Startup |  Decision Making Pre-Mortem |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | Wochen bis Monate je Lernzyklus | 20–45 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | Small cross-functional group |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Risk list, Mitigation plan, Assumption log |
Tagsno overlap | DecisionTreeOptions | ConstraintsDecisionPlanningOptions | LeanStartupValidationMVP | RiskDecisionFailurePlanning |