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| Criterion |  Product Discovery Kano Model |  Delivery MoSCoW |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
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 a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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 | Low | High |
Timedifferent | 1-2 Tage | 30-90 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 10-50 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Prioritized Backlog, Release Scope, Tradeoff Notes | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | SatisfactionPrioritizationCustomer | PrioritizationScopeDecision | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |