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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy DIBB |  Facilitation Stakeholder Salience Model |  Facilitation Decision Jam |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 30-240 min | 1-2 h | 60-90 min | 60-90 min |
Participantsdifferent | 1-6 | 2-8 | 3-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | DIBB document, Belief list, Bet list, Learning report | Salience Diagram, Strategy per Class | Problem Cluster, Prioritized Challenge, Experiment |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyDecisionAssumptionsHypothesis | StakeholdersFacilitationAlignmentGovernance | FacilitationDecisionProblem solvingWorkshop |