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| Criterion |  Product Strategy DIBB |  Growth A/B Testing |  Product Strategy KPI Tree |
|---|---|---|---|
Purposedifferent | 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. | 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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. |
Complexitydifferent | Low | High | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | 90-180 min initial, dann laufend |
Participantsdifferent | 2-8 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Experiment results, Decision log, Learning summary | KPI Tree, Owner List |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
