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| Criterion |  Agile Story Points |  Decision Making Delphi Method |  Product Strategy DIBB |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. | 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. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | laufend, 1-5 min je Item | 1-4 Wochen | 1-2 h | 45-90 min |
Participantsdifferent | 3-9 | 6-30 Experten | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Point Estimates, Reference Stories, Velocity Data | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | EstimationAgileMeasurement | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy |