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| Criterion |  Growth A/B Testing |  Operations ALPEN Method |  Product Strategy GIST Planning |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Low | Medium | Low |
Timedifferent | 1-4 Wochen | 10-20 min daily | Wochen bis Monate je Goal | 30-60 min |
Participantsdifferent | 1-6 | 1 | 3-10 | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Daily Plan, Time Estimates, Review Notes | Goals, Idea bank, Step-project list, Tasks, Learning reports | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PlanningTime managementProductivityOperations | RoadmapOutcomesPlanningExperiments | ExperimentsValidationDiscoveryHypothesis |