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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Facilitation Power Interest Grid |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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. | When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy. | 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. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 60-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Power Interest Grid, Strategy per Stakeholder | Experiment results, Decision log, Learning summary |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | StakeholdersFacilitationAlignmentPlanning | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
