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Criterion
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.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 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
MediumMediumLowHigh
Timedifferent
120 min initial, dann laufendMultiple workshops over several weeks30-60 min1-4 Wochen
Participantsdifferent
3-62-81-51-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
HEART-GSM Table, DashboardHooked loop, Trigger map, Reward design, Ethics checkCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summary
Tagsno overlap
MetricsUX researchMeasurementSatisfaction
GrowthBehaviorRetention
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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