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Designing for usability involves establishing user requirements for a new system or product, developing design solutions, prototyping the system and the user interface, and testing it with representative users. However, before any usability design or evaluation activity can begin, it is necessary to understand the Context of ;se for the product, i.e. the goals of the user community, and the main user, task and environmental characteristics of the situation in which it will be operated. This paper describes the background to, and importance of, understanding Context of Use, and presents a process for performing a context analysis. The method described is particularly aimed at non-experts in the area of user-centred design and evaluation.

Abstract:Understanding user requirements is an integral part of information systems design and is critical to the success of interactive systems. However specifying these requirements is not so simple to achieve. This paper describes general methods to support user requirements analysis that can be adapted to a range of situations. Some brief case studies are described to illustrate how these methods have been applied in practice.

Understanding the needs and aspirations of a suitable range of users during the product design process is an extremely difficult task. Methods such as ethnographic studies can be used to gain a better understanding of users needs, but they are inherently time consuming and expensive. The time pressures that are evident in the work performed by design consultancies often make these techniques impractical. This paper contains a discussion about the use of 'personas', a method used by designers to overcome these issues. Personas are descriptive models of archetypal users derived from user research. The discussion focuses on two case studies, the first of which examines the use of personas in the car design process. The second examines the use of personas in the field of 'inclusive design', as demonstrated by the HADRIAN system. These case studies exemplify the benefits 'data rich' personas contribute as opposed to 'assumption based' personas.