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| Criterion | ![]() Agile Affinity Estimation | ![]() Decision Making Wideband Delphi | ![]() Decision Making Force Field Analysis | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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. | 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 | Low | Low |
Timedifferent | 30-90 min | 1-4 h or multiple rounds | 45-90 min | 1-2 h |
Participantsdifferent | 3-12 | 4-12 Experten | 3-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Estimate Range, Assumption Log, Expert Consensus Notes | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationExpertsForecasting | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



