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| Criterion |  Product Discovery Jobs to Be Done |  Domain Modeling EventStorming |  Product Discovery Kano Model |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 Wochen | 2-8 h | 1-2 Tage | 60-90 min |
Participantsdifferent | 5-12 Interviews | 5-12 | 10-50 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Kano Matrix, Feature Classes, Priority Themes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | CustomerOutcomesNeeds | Domain-Driven DesignEventsDiscoveryWorkshop | SatisfactionPrioritizationCustomer | ExperimentsPrioritizationDiscoveryHypothesis |