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| Criterion |  Knowledge Modeling Teach-back |  Decision Making Constraint Analysis |  Product Discovery MVP Test Matrix |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Low | Low | Medium | Low |
Timedifferent | 5-20 min | 30-90 min | 45-75 min | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Understanding Check, Clarification Notes, Learning Gaps | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Test Matrix, Test Plan | Completed Experiment Canvas, Success Metric |
Tagsno overlap | LearningUnderstandingCommunication | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryOptions | ExperimentsValidationDiscoveryHypothesis |