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| Criterion |  Product Discovery Concierge MVP |  Business Strategy VRIO Framework |  Product Strategy DIBB |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | The VRIO Framework rates resources and capabilities on whether they are Valuable, Rare, Inimitable, and Organized. It compares strengths, risks, market logic, and courses of action. The result is captured as a VRIO table and strategic actions. | 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 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 90-180 min | 1-2 h | 30-60 min |
Participantsdifferent | 3-10 Kunden | 3-6 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | VRIO Table, Strategic Actions | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | StrategyDiagnosisBusiness modelCapability | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |