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| Criterion |  Product Discovery Concierge MVP |  Systems Thinking Future Reality Tree |  Systems Thinking Intervention Mapping |  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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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 | High | High | Low |
Timedifferent | 1-4 Wochen | 2-4 h | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-10 Kunden | 3-8 | 4-12 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | Theory of ConstraintsSystems thinkingChange | ChangeSystems thinkingCapability | ExperimentsValidationDiscoveryHypothesis |