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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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.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
MediumMediumHigh
Timedifferent
1-2 h1-3 h1-4 Wochen
Participantsdifferent
3-122-81-6
Formatdifferent
WorkshopWorkshopAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsCausal Loop Diagram, Feedback Notes, Leverage PointsExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
FeedbackSystems thinkingCausalityDynamics
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping