In the evolving landscape of HCI, visual data analysis plays a crucial role in understanding user interactions, designing innovative interfaces, and interpreting complex visualizations. Despite its importance, the field lacks standardized methods and tools to handle the unique challenges posed by visual data, such as the non-verbal aspects, contextual nuances, and subjective interpretations inherent in visual materials. This workshop seeks to gather researchers, practitioners, and scholars interested in advancing the methods for analyzing visual data within HCI. We aim to discuss and reflect on the processes, strategies, and challenges involved in using visual methods in qualitative research. Topics may include the development of new visual analysis methods, the adaptation of existing qualitative techniques for visual data, and the integration of visual and textual data analysis.