View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Agile Planning Poker |  Product Strategy DIBB |  Decision Making Force Field Analysis |  Agile Bucket System |
|---|---|---|---|---|
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. | 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 | 2-5 min je Item | 1-2 h | 45-90 min | 30-90 min |
Participantsdifferent | 3-9 | 2-8 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Relative Estimates, Assumption Notes, Split Candidates | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | EstimationAgileRelative sizingTeam | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy | EstimationBacklogRelative sizing |