
It is critical to the success of a system that appropriate and representative users are involved in the development work. However, the process of identifying and selecting users has not been a focus of research. In this paper, we describe a process of identifying and selecting relevant users specifically for field studies. Characterization and sampling of users are discussed. In addition, a way of describing user groups is suggested. Finally, we summarize results from seven case studies in six different companies. The case studies show that developers tend to underestimate the diversity of users and that a systematic process helps to identify the different user groups, select representative users and identify representative user needs. It was found that identification of users' characteristics and groups is an iterative process, and user descriptions evolve when real data are gathered from users.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 63 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
