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| Criterion |  Product Discovery Pretotyping |  Product Strategy Counter Metrics |  Growth A/B Testing |  Product Strategy KPI Tree |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | Stunden bis wenige Tage | 30-60 min | 1-4 Wochen | 90-180 min initial, dann laufend |
Participantsdifferent | 1-4 | 2-6 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary | KPI Tree, Owner List |
Tagsno overlap | ValidationDemandMVP | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement |