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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
MediumLowLowHigh
Timedifferent
1-2 h30 min Setup, dann laufend1-5 Tage1-4 Wochen
Participantsdifferent
3-121-3 maintaining, briefing for everyoneNutzertraffic1-6
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsRAID Log, Status Report SourceInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
RiskTrackingStakeholdersGovernance
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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