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| Criterion |  Agile Planning Poker |  Agile Affinity Estimation |  Product Strategy DIBB |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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. | 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. | 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 | Low | Medium | Low | Low |
Timedifferent | 2-5 min je Item | 30-90 min | 1-2 h | 45-90 min |
Participantsdifferent | 3-9 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Relative Estimates, Assumption Notes, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy |