Designing data-intensive applications — advice for interaction designers
📰 Medium · Python
Learn how to design data-intensive applications by considering the multi-dimensional nature of data and its impact on user interaction
Action Steps
- Consider the multi-dimensional nature of data when designing applications
- Think about how to effectively project complex data into two-dimensional screens
- Design intuitive interactions for users to explore and understand complex data
- Use visualization tools like graphs and tables to facilitate data comprehension
- Test and iterate on your design to ensure it meets user needs
Who Needs to Know This
Interaction designers and UX teams can benefit from this advice to create more effective and user-friendly data-intensive applications
Key Insight
💡 Data-intensive applications require designers to think about the multi-dimensional nature of data and how to effectively communicate it to users
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📊 Designing data-intensive apps? Consider the multi-dimensional nature of data & how to project it onto 2D screens 📈
Key Takeaways
Learn how to design data-intensive applications by considering the multi-dimensional nature of data and its impact on user interaction
Full Article
The things on the screen — numbers, tables, graphs, forms, dashboards — are just two-dimensional projections of a multi-dimensional data… Continue reading on UX Collective »
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