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| Criterion |  Decision Making Decision Tree |  Operations Time Blocking |  Product Discovery Fake Door Test |  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. | With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | 30-90 min | 15-30 min Planung, laufend | 1-5 Tage | 30-90 min |
Participantsdifferent | 1-6 | 1 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Blocked Calendar, Capacity View, Focus Plan | Click Data, Interest Signal, Learning Decision | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | PlanningTime managementFocus | ValidationExperimentsDemandDiscovery | ConstraintsDecisionPlanningOptions |