Enricommender: Business Intelligence for User Interface Design

Abstract

Abstract Graphical user interface (GUI) browsing and retrieval tools are becoming essential to interaction design research and practice. These tools allow GUI designers to browse large amounts of data and recover inspiring or relevant designs for their task. Unfortunately, data-driven market analysis or business intelligence (BI) applied to GUIs have mostly been left aside. To address this research gap, we elicit designers’ needs and responses regarding the development of Enricommender, a high-fidelity prototype of a market analysis recommender and reporting system. We identify and discuss key design challenges, as reported by more than 200 real-world designers, as well as their workflows and overall expectations towards such a BI system. Ultimately, this article sets the foundation for developing future GUI-oriented BI applications. RESEARCH HIGHLIGHTS Insights about ideation and design of graphical user interfaces. Elicited preferences and current practices from 200 real-world designers. A business intelligence prototype for comparative analysis and design recommendations.