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| Criterion | ![]() Innovation Double Diamond | ![]() Product Discovery Smoke Test | ![]() Innovation Design Sprint | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | 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. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | Wochen bis Monate | 1-5 Tage | 4-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-12 | Nutzertraffic | 5-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Interest Metrics, Conversion Signal, Learning Note | Prototype, Test Findings, Decision Rationale | Experiment results, Decision log, Learning summary |
Tagsno overlap | ProcessDivergenceInnovation | ValidationExperimentsDemandGrowth | Design sprintPrototypeValidationInnovation | ExperimentsGrowthAnalyticsValidation |



