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| Criterion |  Product Strategy DIBB |  Agile Affinity Estimation |  Agile Bucket System |  Decision Making OODA Loop |
|---|---|---|---|---|
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 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. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1-2 h | 30-90 min | 30-90 min | 15-60 min je Zyklus |
Participantsdifferent | 2-8 | 3-12 | 3-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | DecisionChangeLearningStrategy |