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| Criterion |  Product Discovery Kano Model |  Decision Making Delphi Method |  Systems Thinking VUCA Scan |  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. | The VUCA Scan helps read difficult situations more precisely. Instead of treating unclarity as generally complicated, the method separates fast change, missing knowledge, systemic entanglement, and ambiguous interpretation. | 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 | 30-90 min | 1-2 h |
Participantsdifferent | 10-50 | 6-30 Experten | 1-10 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Expert Forecast, Consensus Range, Assumption Notes | VUCA Map, Response Options, Signal and Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | SatisfactionPrioritizationCustomer | ForecastingExpertsDecisionStrategy | SensemakingUncertaintyComplexityStrategyForesight | StrategyDecisionAssumptionsHypothesis |