The Relationship Between Visualization Dashboard Design Quality and Data Interpretation Accuracy

This study examines the relationship between visualization dashboard design quality and data interpretation accuracy, exploring how various design elements impact users' ability to accurately interpret data presented in dashboards. As organizations increasingly rely on data visualization tools for decision-making, the quality of dashboard design becomes paramount to ensuring that users can comprehend complex data effectively. This research aims to identify specific design characteristics that enhance data interpretation accuracy, thereby contributing to more informed decision-making processes.Utilizing a mixed-methods approach, the study combines quantitative measures derived from user performance tests and qualitative insights gathered through participant interviews. The quantitative component involves an experimental design where participants are tasked with interpreting data from various dashboard designs. This analysis includes performance metrics such as interpretation accuracy, speed, and user satisfaction. Complementing this, qualitative interviews provide insights into user perceptions of design quality, highlighting how specific design elements—such as layout, color schemes, and interactivity—affect their cognitive processing of information.Preliminary findings suggest a strong correlation between the quality of dashboard design and the accuracy of data interpretation. Dashboards that incorporate clear layouts, effective use of color, and interactive features significantly enhance users' ability to understand and analyze data correctly. Moreover, the research indicates that cognitive load plays a critical role in this relationship; individuals exposed to poorly designed dashboards experience higher cognitive strain, leading to decreased accuracy in data interpretation.The study concludes with practical recommendations for organizations regarding best practices in dashboard design to improve data interpretation accuracy. By focusing on user-centric design principles, organizations can enhance the effectiveness of their visualization dashboards, leading to more accurate data analysis and improved decision-making outcomes. This research contributes valuable insights to the field of information visualization, underscoring the importance of design quality in the effective communication of data.