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| Criterion |  Delivery Shape Up |  Product Discovery Concierge MVP |  Product Discovery Dual-Track Agile |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts. | 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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | 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 | Medium | Low |
Timedifferent | 6 Wochen Cycle + 2 Wochen Cool-Down | 1-4 Wochen | Laufend, Wochen bis Monate | 30-60 min |
Participantsdifferent | 2-4 pro Pitch | 3-10 Kunden | 4-10 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pitches, Bet-table decisions, Hill charts, Cooldown outcomes | Concierge Learnings, Service Blueprint, MVP Risks | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Completed Experiment Canvas, Success Metric |
Tagsno overlap | PlanningDeliveryAutonomy | MVPValidationServiceDiscovery | AgileDiscoveryDelivery | ExperimentsValidationDiscoveryHypothesis |