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Criterion
Paper radar with five axes, two current and target profiles, and evidence cards beside each dimension.
Decision Making
Radar
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When capabilities, maturity levels, or market positions need to be compared across several dimensions, overview is easily lost. Radar brings different characteristics into a shared picture and shows patterns faster than tables do.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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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
MediumHighMediumLow
Timedifferent
1-2 h1-4 Wochen2–4 h review as a planning range; preparation and evaluation additional1-5 Tage
Participantsdifferent
2-101-6Designers, developers as users, and facilitationNutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Radar Map, Capability Scores, Action AreasExperiment results, Decision log, Learning summaryPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
AssessmentPortfolioCapability
ExperimentsGrowthAnalyticsValidation
ArchitectureEngineeringFeedbackValidationTasks
ValidationExperimentsDemandGrowth
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