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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Purposedifferent
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.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 Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen120 min initial, dann laufend45-90 min1-2 h Setup, laufend
Participantsdifferent
1-63-62-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryHEART-GSM Table, DashboardAnsoff Matrix, Growth Options, Risk NotesAARRR funnel, Metric baseline, Experiment backlog
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
MetricsUX researchMeasurementSatisfaction
GrowthStrategyMarketPortfolio
GrowthMetricsExperiments
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