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| Criterion |  Decision Making Constraint Analysis |  Agile Affinity Estimation |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
Purposedifferent | 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 30-90 min | 30-90 min | 30-60 min | 45-75 min |
Participantsdifferent | 2-8 | 3-12 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Affinity Size Map, Grouped Estimates, Unclear Items | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan |
Tagsno overlap | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions |