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| Criterion |  Agile Planning Poker |  Product Strategy DIBB |  Decision Making Wideband Delphi |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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. | 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. | 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. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 2-5 min je Item | 1-2 h | 1-4 h or multiple rounds | 30-90 min |
Participantsdifferent | 3-9 | 2-8 | 4-12 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Relative Estimates, Assumption Notes, Split Candidates | DIBB document, Belief list, Bet list, Learning report | Estimate Range, Assumption Log, Expert Consensus Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationAgileRelative sizingTeam | StrategyDecisionAssumptionsHypothesis | EstimationExpertsForecasting | EstimationBacklogRelative sizing |