View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations Causal Factor Analysis |  Decision Making Pre-Mortem |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 2-6 h | 20–45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-10 | Small cross-functional group | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | CausalityIncidentRoot causeTimeline | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |