Design
Clustering user language for dashboard information architecture
AI is used to semantically cluster phrases and concepts from user interviews so the designer can identify gaps between how users describe needed data and how dashboards are currently structured.
Why the human is still essential here
The model finds recurring signals, but the designer decides how to redesign the information hierarchy and resolve UX problems.
How people use this
Interview vocabulary clustering
AI clusters similar terms from interview transcripts so designers can see how users naturally talk about metrics, tasks, and outcomes.
Marvin AITerminology gap mapping
AI compares user phrasing with existing dashboard labels to expose where product language and user language are misaligned.
DovetailNavigation label candidates
AI turns clustered user language into candidate section names and filter labels that can be tested in a dashboard redesign.
ChatGPT / Claude