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| Criterion | ![]() Decision Making Decision Tree | ![]() Operations A3 Problem Solving | ![]() Product Discovery Fake Door Test |
|---|---|---|---|
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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-90 min | 45-90 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | A3 Report, Action Plan, Root Cause Analysis | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DecisionTreeOptions | LeanProblem solvingCoachingOperations | ValidationExperimentsDemandDiscovery |
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