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| Criterion |  Facilitation Dot Estimation |  Decision Making Decision Tree |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 5-20 min | 30-90 min | 1-5 Tage |
Participantsdifferent | 3-20 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Decision Tree, Option Map, Assumption List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationEffortRisk | DecisionTreeOptions | ValidationExperimentsDemandDiscovery |
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