A data-driven design is a design that uses data to show how users interact with products. It also involves using data in the creation of designs to improve user experience. Data helps designers know the preference of users and how they interact with products. The use of data-driven designs also helps to eliminate any bias a designer might have towards a particular design in favor of designs backed by data.
How To Effectively Use Data In Designs
Using A Combination Of Quantitative And Qualitative Data
When creating a data-driven design, it is best to use a combination of quantitative and qualitative data. This is because while quantitative data provides numerical data on what actions users take, qualitative data shows you why users take the actions they do and how they do it.
Methods Of Collecting Quantitative Data
These include:
Multivariate tests are performed to determine the best combination out of defined combinations. A/B and multivariate tests are good indicators of which solutions are best for a particular user base.
Methods Of Collecting Qualitative Data
These include:
Conclusion
Incorporating a data-driven design can result in increased conversions and product performance. Using data can help influence your design decisions, leading to creating designs that engage users.
