Current fitness devices can be difficult to use, and do not allow the user to track and analyze their fitness.
There are numerous classifications and groups of users that use fitness devices such as scales, pedometers, free weights, and fitness machines. Several axes could be used to define a sub-user group to study, such as demographics (age, sex, job), level of fitness, and frequency of fitness.
Our team discussed our available resources, and concluded that athletes (those who compete with teams) would be too difficult to get a hold of. Furthermore, we want to work with people who already use some fitness devices, so people who do not participate in fitness at least weekly would also be unacceptable. Our team realized that many of the devices that we are interested in evaluating have no absolute demographic data associated with them, and thus decided that we would not base our group on age or sex alone. With these constraints in mind, it seems appropriate that we look at regular users of fitness equipment. Within this demographic, we realized that we could break this up into people who work out alone, and people who workout in groups. The social aspect appeared to incite more interesting snap-designs among the team, and so our final user group is to work with casual-to-regular fitness users who work out with friends.