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Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowHighLow
Timedifferent
1 Tag bis mehrere Wochen30 min Setup, dann laufend1-4 Wochen1-5 Tage
Participantsdifferent
4-101-3 maintaining, briefing for everyone1-6Nutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Problem Statement, Prototype, Test LearningsRAID Log, Status Report SourceExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
InnovationPrototypeResearch
RiskTrackingStakeholdersGovernance
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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