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| Criterion |  Product Strategy DIBB |  Agile Planning Poker |  Decision Making Force Field Analysis |  Agile Bucket System |
|---|---|---|---|---|
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. | 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. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 1-2 h | 2-5 min je Item | 45-90 min | 30-90 min |
Participantsdifferent | 2-8 | 3-9 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Relative Estimates, Assumption Notes, Split Candidates | Force Field Map, Change Levers, Risk Notes | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | EstimationAgileRelative sizingTeam | ChangeDecisionStrategy | EstimationBacklogRelative sizing |