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Selected:Outcome-Driven InnovationARID (Active Reviews for Intermediate Designs)Fake Door TestOpportunity Solution Tree
| Criterion |  Product Discovery Outcome-Driven Innovation |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Fake Door Test |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | Mehrere Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 researchers plus sample | Designers, developers as users, and facilitation | Nutzertraffic | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Click Data, Interest Signal, Learning Decision | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandDiscovery | DiscoveryOutcomesExperimentsOpportunity |