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| Criterion |  Product Discovery Concierge MVP |  Product Strategy DIBB |  Product Strategy KPI Tree |
|---|---|---|---|
Purposedifferent | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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 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 | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | 90-180 min initial, dann laufend |
Participantsdifferent | 3-10 Kunden | 2-8 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | DIBB document, Belief list, Bet list, Learning report | KPI Tree, Owner List |
Tagsno overlap | MVPValidationServiceDiscovery | StrategyDecisionAssumptionsHypothesis | MetricsStrategyAlignmentMeasurement |
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