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| Criterion | ![]() Operations Causal Factor Analysis | ![]() Product Strategy DIBB | ![]() Decision Making Assumption Surfacing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 2-6 h | 1-2 h | 45-90 min | 45-60 min |
Participantsdifferent | 3-10 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | CausalityIncidentRoot causeTimeline | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery | AssumptionsRiskExperimentsValidation |



