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| Criterion | ![]() Engineering Kanban | ![]() Product Strategy DIBB | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Ongoing | 1-2 h | 60-90 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 2-12 | 2-8 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | DIBB document, Belief list, Bet list, Learning report | Prioritization Canvas, Hypothesis Backlog | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | FlowVisual managementDelivery | StrategyDecisionAssumptionsHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryAssumptions |



