View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Agile Affinity Estimation |  Product Discovery Opportunity Solution Tree |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | 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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 3-12 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Opportunity Solution Tree, Experiment Backlog, Learning Log | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationBacklogRelative sizing | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandDiscovery |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
