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 Scoring |  Product Discovery Kano Model |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-120 min | 1-2 Tage | 60-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 3-6 | 10-50 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Kano Matrix, Feature Classes, Priority Themes | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | SatisfactionPrioritizationCustomer | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity |