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GIM UX+®

Real innovation happens where established standards end!

Topic
Designers and product developers often anticipate UX KPIs as early as in the ideation phase, and they design their creations in a way to make them score as high as possible on indices like ’efficiency‘ or ’learnability‘, parameters that are used to measure the quality of innovation. However, it is not unusual that ideas that strictly conform to functional usage norms fail on the market.

In the scope of our UX research, we are therefore pursuing a new approach: we do not only focus on standardised functional attributes, we also explore the symbolic and emotional value of user experiences. In that way, we make sure that we always pay enough attention to “the certain something” of a product in development, and hence ensure that the result will be a product that stands out.

Areas of application 
At the centre of our research are the users themselves. We question their motives and motivations: Why do they want to use this product? What drives them to do this? In this way, we extend the UX-KPI framework by the motivational level and tailor it to your specific research question and product category. For example:

  • Which user motives are there?
  • Which symbolic qualities of the user experience add to these motives?
  • Do the selected KPIs cover all relevant user motives?
  • Are the parameters for measuring adequate for this product category?
  • Do further KPIs have to be integrated?

Toolbox 
Our UX team combines the best from both worlds: all team members have many years of experience in market research. This means they are familiar with all relevant qualitative, device-based and quantitative methods. Apart from that, we are certified UX professionals.

Some of the UX team members are at the same time core members of our GIM Design Research team. The methodological, analytical and advice-related benefits of this fact are obvious (e.g. knowledge transfer and synergies that can be used).

By asking these and other central questions, we can accurately fine-tune both quantitative and qualitative research designs. We think of our approach as a dynamic and adaptive solution.