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| Criterion | ![]() Product Strategy Lean Canvas | ![]() UX Research Surveys | ![]() Growth A/B Testing | ![]() Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 45-90 min | 3-14 Tage | 1-4 Wochen | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-6 | 50+ | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | StartupLeanAssumptionsBusiness model | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryAssumptions |



