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| Criterion | ![]() Innovation Double Diamond | ![]() Architecture Software Architecture Canvas | ![]() Product Discovery Smoke Test | ![]() 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. | The Software Architecture Canvas reduces a system to the most important architecture decisions, constraints, and interfaces. It is useful when teams need a resilient overall picture quickly. | 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 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 | Low | High |
Timedifferent | Wochen bis Monate | 1-2 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-12 | 3-10 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Architecture Canvas, Goals, Constraints, Quality Attributes | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | ProcessDivergenceInnovation | CanvasArchitectureAlignmentWorkshop | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |



