An empathy map is a tool used in design research to gain deeper insight into users' experiences, thoughts, and emotions. It consists of four quadrants—Says, Thinks, Does, and Feels—that help synthesize observations and inform user-centered design decisions.

In the video "Types of Qualitative Data Analysis [Purposes, Steps, Example]," the presenter provides an overview of various qualitative data analysis methods, their objectives, and practical applications.

The article Scribbr provides a comprehensive overview of qualitative research, a methodology focused on collecting and analyzing non-numerical data to understand concepts, opinions, or experiences.

In module 1 of this 5-part series on Qualitative Research, the focus is on understanding the basics of the subject

In module 2 of this 5-part series on Qualitative Research, the focus is on developing qualitative research questions.

Module 3 of this 5-part series on Qualitative Research focuses on 'Interviews' as a qualitative research method.

Module 4 of this 5-part series on Qualitative Research focuses on 'Focus Groups' as a qualitative research methods.

Module 5 of this 5-part series on Qualitative Research focuses on 'Data Analysis' as a qualitative research method.

The article provides a comprehensive overview of qualitative data analysis, focusing on both manual and automated approaches.

This article published in Neurological Research and Practice in 2020, provides a comprehensive overview of qualitative research methods in the health sciences.

The article outlines five prominent techniques for analyzing qualitative data to enhance user and customer experiences.

The article provides an in-depth exploration of qualitative data analysis, emphasizing its significance in understanding complex human behaviors and experiences.

The article provides an in-depth exploration of narrative analysis, a qualitative research method that interprets personal stories to understand how individuals experience events.

In a world dominated by CX metrics, Raj Sivasubramanian highlights the risk of the Metric-Centric Trap, where organizations prioritize numbers over meaningful customer experiences. He advocates for balancing data with storytelling—leveraging customer videos and real-life narratives to create empathy, drive actionable insights, and align CX improvements with operational goals.

How AI tools can expedite various stages of UX research, particularly in planning and analysis, while emphasizing the necessity of human oversight to ensure accuracy and relevance.