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Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

Blog post from Neo4j

Post Details
Company
Date Published
Author
Karen Passmore, CEO of Predictive UX
Word Count
2,325
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

UX design is centered around user needs, aiming to simplify complex systems and provide a better experience for end-users. Poor UX can lead to a "data monster," causing users to struggle with the application and leading to frustration and abandonment. Design thinking is a process that involves empathy, defining problems, ideation, prototyping, and testing to create a solution that meets user needs. By applying design thinking principles, data-heavy applications can reduce cognitive strain and increase user trust. The process can be applied early in the discovery phase, ensuring everyone involved is speaking the same language and working towards a common goal.

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