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| Criterion |  Agile Bucket System |  Product Strategy DIBB |  Domain Modeling Context Map |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | 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. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 30-90 min | 1-2 h | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | DIBB document, Belief list, Bet list, Learning report | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy |