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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() Delivery Value Stream Mapping | ![]() Product Strategy DIBB | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-3 h | 1-3 h | 1-2 h | 45-60 min |
Participantsdifferent | 3-12 | 4-10 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Current-state map, Future-state map, Bottleneck list | DIBB document, Belief list, Bet list, Learning report | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeMappingRisk | LeanFlowWasteDelivery | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskExperimentsValidation |



