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| Criterion |  Product Discovery Kano Model |  Decision Making Delphi Method |  Product Strategy ICE Scoring |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Expert Forecast, Consensus Range, Assumption Notes | ICE Table, Top Idea List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | SatisfactionPrioritizationCustomer | ForecastingExpertsDecisionStrategy | PrioritizationScoringGrowthDecision | StrategyDecisionAssumptionsHypothesis |