How good data makes for great design
Posted: Tue Jan 21, 2025 9:29 am
Behind every good design lies a great team of UX Designers who work motivated to explore different alternatives that guarantee a final result that meets the demands of users.
To do this, they access different resources in search of a matrix on which to draw a good design that allows improving data analysis capabilities.
Many notes have emerged on how good graphic design helps when presenting and analyzing our data to address our decision-making processes. In fact, some time ago we commented on “The power of graphics to present data” , and we saw the idea that “visually persuasive dashboards are not only for creating aesthetically pleasing graphics, but also for: Communicating the most important information and focusing attention on the problems; Transmitting discoveries quickly, with information at hand; Building user loyalty with interactive charts and graphs.”
Now, have you ever thought about how data quality influences good design? Michael Anthony , Qlik Senior Member of the Demos & Best Practices team, took a look at the topic and wrote a post in which he presents a variety of data sources that UX Designers access , and that help define smarter designs.
The first source is usability testing , which is dedicated macedonia phone number lead to evaluating websites and applications, observing whether users can complete the intended tasks and what their emotional responses to the designs are.
In usability testing, knowing what's working can be just as useful as knowing what's not. When you have the data to back up what works, you can defend an idea with the accurate data behind it, and it's incredibly valuable in justifying design decisions.
Featured: 5 common mistakes in data visualization
A second source of data for designers is web analytics . Google Analytics (GA) data is a great resource for understanding how your site/app is being used, as well as a little bit more about who your users are. You can learn which browsers your users use, what types of devices (tablets, laptops, smartphones), etc., and then design according to the data that your users’ experience guides.
A third source of data is the UX community : using existing research, best practices, and design standards to make smarter decisions.
“Reinventing the wheel can be a waste of time, and not every design decision needs to be innovative. Sometimes the road less traveled is the one less traveled for a reason.”
To do this, they access different resources in search of a matrix on which to draw a good design that allows improving data analysis capabilities.
Many notes have emerged on how good graphic design helps when presenting and analyzing our data to address our decision-making processes. In fact, some time ago we commented on “The power of graphics to present data” , and we saw the idea that “visually persuasive dashboards are not only for creating aesthetically pleasing graphics, but also for: Communicating the most important information and focusing attention on the problems; Transmitting discoveries quickly, with information at hand; Building user loyalty with interactive charts and graphs.”
Now, have you ever thought about how data quality influences good design? Michael Anthony , Qlik Senior Member of the Demos & Best Practices team, took a look at the topic and wrote a post in which he presents a variety of data sources that UX Designers access , and that help define smarter designs.
The first source is usability testing , which is dedicated macedonia phone number lead to evaluating websites and applications, observing whether users can complete the intended tasks and what their emotional responses to the designs are.
In usability testing, knowing what's working can be just as useful as knowing what's not. When you have the data to back up what works, you can defend an idea with the accurate data behind it, and it's incredibly valuable in justifying design decisions.
Featured: 5 common mistakes in data visualization
A second source of data for designers is web analytics . Google Analytics (GA) data is a great resource for understanding how your site/app is being used, as well as a little bit more about who your users are. You can learn which browsers your users use, what types of devices (tablets, laptops, smartphones), etc., and then design according to the data that your users’ experience guides.
A third source of data is the UX community : using existing research, best practices, and design standards to make smarter decisions.
“Reinventing the wheel can be a waste of time, and not every design decision needs to be innovative. Sometimes the road less traveled is the one less traveled for a reason.”