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| Criterion |  Product Discovery Product Kata |  Decision Making Delphi Method |  Product Strategy Impact Mapping |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 1-2 Wochen je Loop | 1-4 Wochen | 45-90 min | 1-2 h |
Participantsdifferent | 3-10 | 6-30 Experten | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Direction, Current metric, Target metric, Experiment note, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Impact Map, Outcome Hypotheses, Delivery Options | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | OutcomesDiscoveryLearningIterationCoaching | ForecastingExpertsDecisionStrategy | OutcomesStrategyBehaviorPlanning | StrategyDecisionAssumptionsHypothesis |