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| Criterion |  Product Discovery Kano Model |  Decision Making Delphi Method |  Decision Making Cynefin Workshop |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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 Tage | 1-4 Wochen | 60-180 min | 1-2 h |
Participantsdifferent | 10-50 | 6-30 Experten | 4-20 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Expert Forecast, Consensus Range, Assumption Notes | Cynefin Map, Domain-specific Actions, Sensemaking Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | SatisfactionPrioritizationCustomer | ForecastingExpertsDecisionStrategy | ComplexitySensemakingDecision | StrategyDecisionAssumptionsHypothesis |