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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighMediumHighMedium
Timedifferent
Halber Tag1-3 h1-4 Wochen45-60 min
Participantsdifferent
5-201-51-62-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
ResilienceOperationsIncident
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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