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| Criterion | ![]() Agile Affinity Estimation | ![]() Product Discovery Product Kata | ![]() Product Strategy DIBB | ![]() Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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. | Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 1-2 Wochen je Loop | 1-2 h | 45-90 min |
Participantsdifferent | 3-12 | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Direction, Current metric, Target metric, Experiment note, Learning report | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | EstimationBacklogRelative sizing | OutcomesDiscoveryLearningIterationCoaching | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |



