In the age of data overload, it is difficult to build applications that make it easier for users to identify key trends and insights. However, with a lack of design experience or the need to fulfil the demand to deliver value quickly, many teams use data grids to present all data for users to consume. While building financial systems and dashboards, I learned that grids are not always the right tool for the job. And I have built a lot of them! We tend to over-leverage grids instead of discovering the true objective of our users and suggesting the right control for the job. This leads to information overload for users as they try to figure out what data is truly relevant and useful.

In this talk, I will make the case for collaborating with users to find the right control to use. I will also share a series of data grid behaviour antipatterns that suggest it is not the right control for you and suggest potential charts or controls to improve the experience of data analysts.

Technical level: Introductory level/students (some technical knowledge needed)

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