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| Criterion |  Systems Thinking Leverage Points |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery MVP Test Matrix |  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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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 | Medium | Low |
Timedifferent | Half day | 60-90 min | 45-75 min | 30-60 min |
Participantsdifferent | 3-12 | 3-8 | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Prioritization Canvas, Hypothesis Backlog | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |