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Criterion
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for Flywheel.
Growth
Flywheel
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
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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
LowMediumLowHigh
Timedifferent
30 min Setup, dann laufend60-120 min1-5 Tage1-4 Wochen
Participantsdifferent
1-3 maintaining, briefing for everyone3-8Nutzertraffic1-6
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
RAID Log, Status Report SourceFlywheel Map, Friction Points, Growth Levers, Experiment BacklogInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskTrackingStakeholdersGovernance
GrowthRetentionConversion
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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