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| Criterion |  Product Strategy RICE Scoring |  Product Discovery Concierge MVP |  Innovation Design Sprint |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | High | Low |
Timedifferent | 60-90 min | 1-4 Wochen | 4-5 Tage | 30-60 min |
Participantsdifferent | 2-10 | 3-10 Kunden | 5-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Concierge Learnings, Service Blueprint, MVP Risks | Prototype, Test Findings, Decision Rationale | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | MVPValidationServiceDiscovery | Design sprintPrototypeValidationInnovation | ExperimentsValidationDiscoveryHypothesis |