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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Decision Making Delphi Method |  Product Discovery Riskiest Assumption Test |  Product Strategy DIBB |
|---|---|---|---|---|
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 30-240 min | 1-4 Wochen | 1-2 Wochen pro Iteration | 1-2 h |
Participantsdifferent | 1-6 | 6-30 Experten | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Expert Forecast, Consensus Range, Assumption Notes | Prioritized Assumption List, Test Plan, Results Report | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ForecastingExpertsDecisionStrategy | ExperimentsValidationDiscoveryAssumptions | StrategyDecisionAssumptionsHypothesis |