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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.
Complexitysame
HighHighHigh
Timedifferent
Halber Tag1-4 Wochen1-4 Wochen
Participantsdifferent
5-206-30 Experten1-6
Formatdifferent
WorkshopAsyncAsync
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summary
Tagsno overlap
ResilienceOperationsIncident
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics