View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Smoke Test |  Growth A/B Testing |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 1-5 Tage | 1-4 Wochen | 2-6 h | 15-30 min |
Participantsdifferent | Nutzertraffic | 1-6 | 3-10 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |