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| Criterion |  Growth A/B Testing |  Innovation Design Sprint |  Decision Making Decision Matrix |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
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 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 4-5 Tage | 45-90 min | 45-120 min |
Participantsdifferent | 1-6 | 5-8 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale | Decision Matrix, Scoring Rationale, Selected Option | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation | DecisionCriteriaScoringTradeoffs | TradeoffsDecisionCriteriaOptions |