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| Criterion |  Product Discovery Solution Interview |  UX Research Affinity Diagramming |  Growth A/B Testing |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 30-60 min je Interview | 45–90 min | 1-4 Wochen | 4-5 Tage |
Participantsdifferent | 5-10 Interviews | 3-10 | 1-6 | 5-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ValidationInterviewsPrototype | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation |