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| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Strategy ICE Scoring | ![]() Decision Making Decision Tree | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Medium | Low | Medium | High |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 30-60 min | 30-90 min | 1-4 Wochen |
Participantsdifferent | Designers, developers as users, and facilitation | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | ICE Table, Top Idea List | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | PrioritizationScoringGrowthDecision | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation |



