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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Facilitation Power Interest Grid |  Growth A/B Testing |  Facilitation Stakeholder Salience Model |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy. | 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. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-240 min | 30-60 min | 1-4 Wochen | 60-90 min |
Participantsdifferent | 1-6 | 2-8 | 1-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Power Interest Grid, Strategy per Stakeholder | Experiment results, Decision log, Learning summary | Salience Diagram, Strategy per Class |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StakeholdersFacilitationAlignmentPlanning | ExperimentsGrowthAnalyticsValidation | StakeholdersFacilitationAlignmentGovernance |