Types of Data for Design
There are two types of data when it comes to Data Driven Design:
- Quantitative data: As the name suggests, Quantitative data refers to the data which is finite and measurable and gives the designer important insights about the behavior of the user in the website or web application. Quantitative data is from the standpoint hard evidence and identifying patterns, we will have data about the demographics of your customers, their age, gender etc. and we will have to make informed decisions based on these data points.
- Qualitative data: Qualitative data is more about information that cannot be measured, for example user motivation to use a particular feature since it is at the top of the page. Qualitative data gives the designer important insights on the feeling and opinion of the user and using this data we the designer can make changes in the design that makes the user feel motivated to use any particular feature.
Data-Driven Design Decisions and Analytics Tools
With the rise of data analysis software services in UI/UX design, more are more designers are moving away from intuition-based design to data-driven design. Modern UI/UX design is based on data-driven decisions. Data Driven design is a set of processes or you can call it a best practice where the designers rather than using their intuition use data for designing user interfaces and user interactions.
In this article, we will discuss what is a Data Driven Design. How to create Data Driven Design? and the best Analytics tools for Data Driven Design.
Table of Content
- What is Data-Driven Design?
- Types of Data for Design
- How to Create Data Driven Designs?
- Top 3 Analytics Tools
- Best Practices
- Conclusion
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