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| Criterion |  Product Discovery Problem Interview |  Product Strategy ICE Scoring |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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. | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-60 min je Interview | 30-60 min | 1-4 Wochen | 60-90 min |
Participantsdifferent | 5-12 Interviews | 2-8 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | DiscoveryInterviewsValidation | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis |