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 Strategy GIST Planning | ![]() Growth A/B Testing | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | Wochen bis Monate je Goal | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-10 | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Goals, Idea bank, Step-project list, Tasks, Learning reports | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tags1 shared | RoadmapOutcomesPlanningExperiments | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |



