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| Criterion |  Product Discovery Kano Model |  Decision Making Delphi Method |  Operations ABC Analysis |  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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 | Low | Low |
Timedifferent | 1-2 Tage | 1-4 Wochen | 30-60 min | 1-2 h |
Participantsdifferent | 10-50 | 6-30 Experten | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Expert Forecast, Consensus Range, Assumption Notes | ABC Classification, Focus Rules, Control List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | SatisfactionPrioritizationCustomer | ForecastingExpertsDecisionStrategy | PrioritizationOperationsPortfolio | StrategyDecisionAssumptionsHypothesis |