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Criterion
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a four-quadrant grid with tasks sorted by importance and urgency and translated into actions.
Decision Making
Eisenhower Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.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.It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped.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
30-60 min2–4 h review as a planning range; preparation and evaluation additional15-30 min1-4 Wochen
Participantsdifferent
2-8Designers, developers as users, and facilitation1-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
ICE Table, Top Idea ListPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsEisenhower Matrix, Action List, Delegation NotesExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationScoringGrowthDecision
ArchitectureEngineeringFeedbackValidationTasks
PrioritizationFocusTasks
ExperimentsGrowthAnalyticsValidation
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