Second, there is an explosion of user-friendly software designed for both researchers and businesses. First, there are advances in natural language processing (NLP) which is focused on understanding human language. That said, there are two new trends that are changing this. The majority of qualitative data analysis still happens manually. While tools like Excel, Tableau and PowerBI crunch and visualize quantitative data with ease, there are a limited number of mainstream tools for analyzing qualitative data. It's important to understand the differences between quantitative data & qualitative data.īut unfortunately, analyzing qualitative data is difficult. It can answer our questions, can help formulate hypotheses and build understanding. Qualitative data is typically generated through:Ĭompared to quantitative data, which captures structured information, qualitative data is unstructured and has more depth. When we conduct qualitative methods of research, need to explain changes in metrics or understand people's opinions, we always turn to qualitative data.
Automatic) Feedback Analysis Sentiment Analysis AI & NLP Qualitative Data Analysis: Step-by-Step Guide (Manual vs.
