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| Criterion |  Product Discovery Kano Model |  Decision Making Pre-Mortem |  Growth A/B Testing |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Tage | 20–45 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 10-50 | Small cross-functional group | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | SatisfactionPrioritizationCustomer | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |