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| Criterion | ![]() Growth A/B Testing | ![]() Facilitation Stakeholder Salience Model | ![]() Product Discovery Learning Card | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 stakeholders appear to matter very differently, the Stakeholder Salience Model rates their actual priority through power, legitimacy, and urgency. It turns individual contributions into a visible selection. The result is captured as a Salience diagram and a class-based strategy. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 25-40 min | 30-60 min |
Participantsdifferent | 1-6 | 3-6 | 1-5 | 1-5 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Salience Diagram, Strategy per Class | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | StakeholdersFacilitationAlignmentGovernance | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |



