A step-by-step process to identify, organize, and connect common themes in qualitative data
Systematically breaking down texts into patterns, themes, and relationships helps to synthesize qualitative information into actionable design insight.
Three classes of themes summarize and organize information into a web-like illustration to communicate findings with stakeholders:
Basic themes come directly from textual data, considered within the context of other basic themes to flesh out a fuller story.
Organizing themes separate basic themes into clusters of similar issues, collectively forming a higher order premise as an argument, position, or assertion.
Global themes distill the overarching point of the text into a single statement, articulating the deeper meaning and complexity of the data.
Thematic networks help make sense of rich, textual data collected from methods such as diary studies, directed storytelling, or interviews.
Thematic network analysis provides a methodology that can help researchers work through the challenges of analyzing textual data using a formulaic, step-by-step methodology.