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| Criterion |  Growth A/B Testing |  Innovation Contradiction Analysis |  Product Discovery Smoke Test |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | 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 a system should improve while another measure suffers as a result, the method makes the underlying conflict precisely formulable. It separates the desired effect from its side effect. This makes solutions possible that address the contradiction deliberately instead of half-heartedly. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | High | Medium | Low | High |
Timedifferent | 1-4 Wochen | 60-120 min | 1-5 Tage | 4-5 Tage |
Participantsdifferent | 1-6 | 2-8 | Nutzertraffic | 5-8 |
Formatdifferent | Async | Workshop | Async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Contradiction Statement, Abstraction Notes, Solution Principles, Concept Ideas | Interest Metrics, Conversion Signal, Learning Note | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ContradictionsInnovationProblem solving | ValidationExperimentsDemandGrowth | Design sprintPrototypeValidationInnovation |