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| Criterion |  Product Discovery Concierge MVP |  Decision Making Pre-Mortem |  Decision Making Decision Tree |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. | 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 | Medium | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 20–45 min | 30-90 min | 30-90 min |
Participantsdifferent | 3-10 Kunden | Small cross-functional group | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Risk list, Mitigation plan, Assumption log | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | MVPValidationServiceDiscovery | RiskDecisionFailurePlanning | DecisionTreeOptions | ConstraintsDecisionPlanningOptions |