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| Criterion | ![]() Agile Bucket System | ![]() Agile NoEstimates | ![]() Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 30-90 min | laufend | 1-2 h |
Participantsdifferent | 3-12 | 2-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Throughput Data, Flow Forecast, Slicing Rules | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationForecastingFlow | StrategyDecisionAssumptionsHypothesis |
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