A typical product design process is a knowledge-driven process with very little data involved. Product designers and engineers tend to trust their knowledge and expertise as the main resource for product design decision-making and product brief writing. Involving data in a product design process can improve the design quality, reduce costs and shorten time-to-market. In this article, I’ll explain what a data-driven product design is, what its benefits are, why it’s not common, and how to implement this useful method.
What is the difference between data and knowledge in the context of product design?
Data is a collection of individual facts. For instance: a list of materials’ prices. Knowledge is a meaningful acquaintance with facts, principles, methods, or practices to understand or perform a specific subject. For instance: the ability to choose the right materials for a product.