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| Criterion |  Agile Planning Poker |  Product Strategy DIBB |  Decision Making Delphi Method |  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. | 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 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 Wochen | 30-90 min |
Participantsdifferent | 3-9 | 2-8 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Relative Estimates, Assumption Notes, Split Candidates | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationAgileRelative sizingTeam | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing |