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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Discovery Outcome-Driven Innovation |  Innovation Design Sprint |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 1-2 h Setup, laufend | Mehrere Wochen | 4-5 Tage | 1-5 Tage |
Participantsdifferent | 2-6 | 2-6 researchers plus sample | 5-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prototype, Test Findings, Decision Rationale | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | OutcomesInnovationResearchQuantitative | Design sprintPrototypeValidationInnovation | ValidationExperimentsDemandDiscovery |