Qualitative Data Analysis is a method used to interpret non-numerical information, such as interviews, open-ended survey responses, or observations. This approach focuses on understanding the underlying themes, patterns, and meanings within the data. Researchers often use techniques like coding to categorize responses, making it easier to identify trends and insights related to the subject being studied. In this type of analysis, the goal is to gain a deeper understanding of people's experiences, thoughts, and feelings. By examining the context and nuances of the data, researchers can provide rich, detailed insights that help inform decisions in fields like psychology, sociology, and market research.