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