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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen1-3 h45-90 min2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent
1-62-82-8Designers, developers as users, and facilitation
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryCausal Loop Diagram, Feedback Notes, Leverage PointsAnsoff Matrix, Growth Options, Risk NotesPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
FeedbackSystems thinkingCausalityDynamics
GrowthStrategyMarketPortfolio
ArchitectureEngineeringFeedbackValidationTasks
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