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| Criterion |  Agile NoEstimates |  Product Strategy DIBB |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | laufend | 1-2 h | 30-90 min |
Participantsdifferent | 2-12 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List |
Tagsno overlap | EstimationForecastingFlow | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions |
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