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| Criterion |  Product Discovery Product Kata |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|
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. | 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 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. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 1-2 Wochen je Loop | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-10 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Direction, Current metric, Target metric, Experiment note, Learning report | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | OutcomesDiscoveryLearningIterationCoaching | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |
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