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| Criterion |  Domain Modeling Context Map |  Systems Thinking Leverage Points |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | 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 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 | Medium | High | Medium | Low |
Timedifferent | 1-3 h | Half day | 45-75 min | 30-60 min |
Participantsdifferent | 2-8 | 3-12 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Leverage Map, Action Strategy | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | Systems thinkingChangeStrategy | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |