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| Criterion |  Product Strategy Impact Mapping |  Product Strategy Counter Metrics |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 45-90 min | 30-60 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-6 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Counter Metric List, Guardrail Definitions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | MetricsMeasurementStrategyExperiments | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |