View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Systems Thinking Leverage Points |  Product Discovery Concierge MVP |  Systems Thinking Future Reality Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. | 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 | High | Medium | High | Low |
Timedifferent | Half day | 1-4 Wochen | 2-4 h | 30-60 min |
Participantsdifferent | 3-12 | 3-10 Kunden | 3-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Concierge Learnings, Service Blueprint, MVP Risks | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Systems thinkingChangeStrategy | MVPValidationServiceDiscovery | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryHypothesis |