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| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Decision Making Assumption Surfacing | ![]() Product Strategy DIBB | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 45-90 min | 1-2 h | 30-60 min |
Participantsdifferent | Designers, developers as users, and facilitation | 2-8 | 2-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |



