View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Opportunity Solution Tree |  Agile Bucket System |  Product Discovery Experiment Canvas |  Agile Affinity Estimation |
|---|---|---|---|---|
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 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. | 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 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-2 h Setup, laufend | 30-90 min | 30-60 min | 30-90 min |
Participantsdifferent | 2-6 | 3-12 | 1-5 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Bucketed Backlog, Relative Estimates, Split Candidates | Completed Experiment Canvas, Success Metric | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryHypothesis | EstimationBacklogRelative sizing |