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| Criterion |  Product Strategy DIBB |  Engineering Kanban |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | 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 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. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 1-2 h | Ongoing | 60-90 min |
Participantsdifferent | 2-8 | 2-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Kanban board, WIP policies, Flow metrics | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | FlowVisual managementDelivery | ExperimentsPrioritizationDiscoveryHypothesis |
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