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| Criterion |  Delivery RAID Log |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. | 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 | Low | Medium | Low | Low |
Timedifferent | 30 min Setup, dann laufend | 60-90 min | 45-90 min | 1-2 h |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 3-8 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | RAID Log, Status Report Source | Prioritization Canvas, Hypothesis Backlog | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | RiskTrackingStakeholdersGovernance | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |