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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for ALPEN Method
Operations
ALPEN Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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
1-5 Tage2–4 h review as a planning range; preparation and evaluation additional10-20 min daily1-4 Wochen
Participantsdifferent
NutzertrafficDesigners, developers as users, and facilitation11-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Interest Metrics, Conversion Signal, Learning NotePrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsDaily Plan, Time Estimates, Review NotesExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationExperimentsDemandGrowth
ArchitectureEngineeringFeedbackValidationTasks
PlanningTime managementProductivityOperations
ExperimentsGrowthAnalyticsValidation
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