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| Criterion |  Knowledge Modeling IBIS |  Decision Making Delphi Method |  Agile NoEstimates |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | 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 | High | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | laufend | 1-2 h |
Participantsdifferent | 2-8 | 6-30 Experten | 2-12 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Expert Forecast, Consensus Range, Assumption Notes | Throughput Data, Flow Forecast, Slicing Rules | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | RationaleKnowledgeDecision | ForecastingExpertsDecisionStrategy | EstimationForecastingFlow | StrategyDecisionAssumptionsHypothesis |