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| Criterion |  Product Discovery Assumption Mapping |  Operations Causal Factor Analysis |  Operations 5 Whys |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | High | Low | High |
Timedifferent | 45-60 min | 2-6 h | 15-30 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-10 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures | Experiment results, Decision log, Learning summary |
Tagsno overlap | AssumptionsRiskExperimentsValidation | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving | ExperimentsGrowthAnalyticsValidation |