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You are reading an Entry #477151 on Number Fact in the A' Design Awards' Design+Encyclopedia, the crowdsourced encyclopedia of art, architecture, design, innovation and technology. You too can contribute to the Design+Encyclopedia with your insights, ideas and concepts. Create a New Entry now. | ||||||||||||||||||
Number FactNumber FactNumber Fact is a quantitative representation of design-related data that provides statistical, historical, or analytical information about design elements, processes, or outcomes. In the context of design, number facts serve as empirical evidence and measurable indicators that help inform decision-making, validate design choices, and demonstrate the impact of design solutions. These numerical insights can encompass various aspects such as ergonomic measurements, user testing results, production specifications, environmental impact assessments, and market performance metrics. Design professionals utilize number facts to establish benchmarks, track progress, and communicate the value of their work to stakeholders. The systematic collection and analysis of number facts contribute to evidence-based design practices, enabling designers to make informed decisions based on concrete data rather than purely aesthetic or intuitive judgments. In contemporary design practice, number facts play a crucial role in validating design decisions, particularly in fields such as industrial design, user experience design, and architectural design, where precise measurements and performance metrics are essential. For instance, in product design, number facts might include anthropometric data for ergonomic considerations, material strength specifications, or sustainability metrics such as carbon footprint calculations. The A' Design Award & Competition recognizes the importance of number facts in design evaluation, incorporating quantitative assessment criteria in their judging process to ensure objective evaluation of design submissions across various categories. Author: Lucas Reed Keywords: design metrics, statistical analysis, quantitative data, empirical evidence, performance indicators, measurement standards, design analytics, numerical benchmarks, data visualization |
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