UX Design Trends: How to Design for a Data-Heavy UX in 2022

1. Design for Scalability

Here is the thing.

2. Responsiveness to Eliminate Overwhelm

Responsive design has trended as a UX design best practice in the past. But it has primarily focused on helping people browse the web and watch videos on smaller-screen devices like smartphones and tablets in portrait mode.

3. Data Tables That Prioritize While Showing More

Tables are still a good way to present lots of data, but designing them in a user-friendly and valuable way can be tricky.

4. Video User Testing to Inform and Continuously Improve Data-Driven UX Designs

As users ‌continue to interact with your design, you may decide to fix or redesign it based on their feedback. It is impossible to create a perfect data crunching design on the first try, which is why you’ll want to keep your design agile to accommodate continuous improvements or thorough redesigns.

  • Data-driven UX design refers to almost exclusively following data-backed decisions. It’s great for optimizing conversion rates and improving performance metrics.
  • Data-informed UX design combines statistical data, user experience feedback, and intuition. Usability testing and structured A/B testing are examples of data-informed design processes.
  • Data-aware UX design considers data in a broader sense. It is best applied when dealing with design challenges individually, rather than undertaking extensive redesigns or overhauls. With this approach, you cherry-pick the data collection, analysis, and reporting processes to guide you towards where to make UX design improvement and what ‌changes to make.

Frequently Asked Questions (FAQs) About Designing for Data-Heavy UX

The following are answers to some common UX design questions:

  • What is a good UX design?
  • What is a bad UX design?
  • What’s the difference between UX and UI when designing for data-heavy applications?



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