Large scale User Experience research on trivago Intelligence

Abstract

[eng] In large companies with huge number of customers, like trivago, there is a high need for analyzing user experience on a large scale. User testing sessions have their own benefits for user experience research, but this approach is limited to small number of users. What needs to be applied is a modern and challenging concept that will analyze massive amount of data about the users’ behaviour, gathered from many different resources. For this purpose, convenient concepts have been utilized with one of the vital trivago platforms for its partners called trivago Intelligence. Evaluation of the heat maps has been performed for analyzing the users’ interaction with user interface, while HEART framework and Goals-SignalsMetrics process (developed by Google) have been applied for tracking the user actions. These users actions have been defined with metrics that are used for measuring the progress of the product towards key goals while making user-centered decisions.