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Selected:Assumption MappingHEART FrameworkGoal Question MetricA/B Testing
Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard.Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.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
MediumMediumMediumHigh
Timedifferent
45-60 min120 min initial, dann laufend90-180 min1-4 Wochen
Participantsdifferent
2-83-63-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingHEART-GSM Table, DashboardGQM Table, Metric ProfilesExperiment results, Decision log, Learning summary
Tagsno overlap
AssumptionsRiskExperimentsValidation
MetricsUX researchMeasurementSatisfaction
MetricsMeasurementEngineeringAlignment
ExperimentsGrowthAnalyticsValidation
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