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Google Analytics 4 Data Visualization

Location3 — a digital marketing agency with a local marketing platform
Platform: LOCALACT
Role: Sole Product Designer
Team Members: Project Manager, Angular Developer, Data Analyst
Design System: Material
Primary Tools Used: Whiteboard, Figma

Requirements

L3 engineers were planning to update to Google Analytics 4, which brought new API capabilities. I was tasked with designing new page templates within LOCALACT with new ways to visualize data and enable users to better understand important KPIs. These were high level, for future-use. Stakeholders would also be interested to see how it could implemented on the homepage.

Solution

Once requirements were gathered, I began with wireframes to determine the basic layout and content of the pages. In tandem, I began creating surveys for stakeholders and specific user groups to better understand their needs and desires for this feature.

Content Wireframe: Traffic
Content Wireframe: Demographics
Content Wireframe: Conversions
Content Wireframe: Top Sources

While designing, I researched GA4 capabilities to gain a deeper understanding of what this feature could be now and in the future. After working with stakeholders to finalize the details of these pages and a few rounds of design reviews, we agreed on a general design concept for these pages that would give the users an enhanced version of LOCALACT with a simplified introduction to Google Analytics 4.

Acquisition (Traffic) page with line and bar chart examples
Demographics page with line and bar chart examples
Conversions page with bar chart example
Top Sources page with combination line and bar chart examples for complex data
Homepage component with GA4 data examples

Regrets

Not researching more Figma plugins to assist with data visualization designs. Editing many graphs/charts over several different pages and phases of design can be quite time consuming.

Lessons Learned

No overarching lessons from this one, but I learned a lot about designing for data visualizations and Google Analytics 4 that will come in handy in the future.