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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Experiment Canvas |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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 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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 30-240 min | 30-60 min | 1-2 h | 45-90 min |
Participantsdifferent | 1-6 | 1-5 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Completed Experiment Canvas, Success Metric | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |