»After analyzing the curve charts, they were classified according to their trends. There were about ten categories, such as U-shaped curve, negatively improving, positively improving, and variable.Then, the categories were simplified and classified into three dominant trends: improvement, deterioration or stability. Thus, a large amount of qualitative data was collected.Factors Involved in UX ChangeTwo critical factors determined a change of experience among users.Practical and utilitarian reasons include functionality, durability and practicality.Aesthetic factors included
stimulation, identification, and beauty..The average number of positive factors was higher for users who plotted an improving curve than for those who plotted decreasing curves.Similarly, the average number of negative factors was lower for those who employee email list drew improving curves than for those who had deteriorating curves.The quality of the reasons related to improving or deteriorating curves was quite similar, but technical problems and bugs were frequently mentioned, related to decreasing curves rather than improving
curves.Qualitative data analysis is far more daunting than quantitative data analysis. Nevertheless, to develop a product adequately, a solid list of results and their periodicity among users is, in most cases, a sufficient level of analysis, in which most of the results are directly and practically applicable in a subsequent design work.The strength of the UX Curve method is that they use fruitfully to convey their experiences. These experiences prove to be meaningful and help designers identify