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| Criterion |  Product Discovery Opportunity Solution Tree |  Agile Affinity Estimation |  Product Discovery MVP Test Matrix |  Agile Bucket System |
|---|---|---|---|---|
Purposedifferent | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 30-90 min | 45-75 min | 30-90 min |
Participantsdifferent | 2-6 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Affinity Size Map, Grouped Estimates, Unclear Items | Test Matrix, Test Plan | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryOptions | EstimationBacklogRelative sizing |