View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth Hooked Model |  Operations PDCA Cycle |  Growth A/B Testing |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | Multiple workshops over several weeks | 1 h bis mehrere Wochen | 1-4 Wochen | 45-60 min |
Participantsdifferent | 2-8 | 1-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | GrowthBehaviorRetention | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |