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| Criterion |  Product Strategy KPI Tree |  Decision Making Assumption Surfacing |  Product Discovery Experiment Canvas |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | Low | Low |
Timedifferent | 90-180 min initial, dann laufend | 45-90 min | 30-60 min | 1-2 h |
Participantsdifferent | 3-8 | 2-8 | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | KPI Tree, Owner List | Assumption List, Critical Assumptions, Learning Plan | Completed Experiment Canvas, Success Metric | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | MetricsStrategyAlignmentMeasurement | AssumptionsRiskDecisionDiscovery | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis |