The importance of evidence based design
Published on: 14th August 2015
Even if they had the time, very few individuals have the required breadth and depth of skills, knowledge and attitude required to consider all aspects of the design. For products of any notable complexity, the idea that a single individual could fully research the product, it's context of use and commercial market, develop a concept, engineer it, test it, select materials and suppliers, and manage production transfer is simply a fantasy.
When it comes to working in teams, it's not enough to be confident in one’s own convictions. If the best designs are to be developed, it is imperative that each member of the team is able to explain the rationale for the decisions they make and convince others.
The most beautiful products, like works of art, elicit physiological responses: upon first sight, pupils dilate and heart rate quickens. The strongest brands can have the same impact. Users often place greater trust in these objects, they care for them and take time to use them effectively. But initial responses can also be fickle. How do we ensure that users not only remain engaged with products but can also use them to enhance system performance? Or simply put, how do we create beautiful things that also work beautifully? Evidence-based design is a key component in developing better things.
Evidence-based design is a key component in developing better things. It's a philosophy that's critical for ensuring the team have a common objective and rationale for decision making when working in large multidisciplinary teams. Measurement is a critical part of this.
This kind of approach is something that a select few do intuitively. They create compelling arguments for a vision of the future and they have the authority or the gravitas to set a course that others follow. For most though, some form of systematic structure usually helps.
Fortunately, the human factors tool kit is jam-packed with methods and techniques ready to be used. These range from ethnography and contextual enquiry to more data driven approaches that are able to quantify aspects of system performance such as efficiency, effectiveness, resilience, intuitiveness, usability and inclusiveness. Furthermore, these approaches can also form the basis for ideation, providing inspiration and information for product improvements. Ultimately a concise, well-supported argument for change is critical.