Qualitative Analysis is the ability to interpret non-numerical data. This includes identifying patterns, themes, biases, or relationships amid unstructured data such as text, images, or auditory content, aiding in comprehensive decision-making. It involves critical thinking, hypothesis testing, contextual understanding, and creative interpretations.

Level 1: Emerging

At an emerging level, you are beginning to understand how to interpret non-numerical data. You can identify basic patterns and themes, but need guidance to fully analyze qualitative information.

Level 2: Proficient

At a proficient level you are able to analyze qualitative data effectively, identifying trends, patterns, and themes to draw insightful conclusions. You can interpret findings accurately and communicate them clearly.

Level 3: Advanced

At an advanced level, you are able to conduct thorough qualitative analysis, using advanced techniques to interpret complex data sets and provide valuable insights for strategic decision-making within the organization.