Previous workshops and interviews that I conducted for related projects furnished comprehensive background information crucial to this endeavor. Through these efforts, I successfully identified the user base, discerned market needs, and gathered valuable feature requests.
I conducted research to identify the pain points associated with Tableau, the standard tool utilized by our internal team. The primary insight gained was that our non-expert users were unlikely to engage with Tableau for insights discovery.
I delved into the examination of consumer analytics tools frequently employed by non-experts. Drawing inspiration from platforms like Google Analytics, YouTube, Facebook Ads, Instagram Insights, and others, I embarked on the mission to craft a user-friendly interface tailored to consumers.
Within the UI framework, I seamlessly integrated an array of features to enhance usability. This includes user-friendly filters for data subset selection and dropdowns for parameter selection, encompassing metrics, dimensions, dimension breakdowns, graph types, and more. Moreover, I incorporated convenient share and download functionalities.
The design of filters and dropdown menus was meticulously crafted, taking into account several key considerations. By leveraging insights gathered from user interviews, I implemented various UX enhancements to ensure an improved user experience. This involved accommodating requests for additional date range presets, the ability to recall recently selected parameters, and the inclusion of multi-select and search features.
All data within Explorer is presented through visual charts. Drawing from extensive research and valuable user feedback, I established a standardized set of guidelines for chart design and best practices, determining the most appropriate chart types for specific data representations. To accommodate the wide range of chart possibilities, I derived calculations based on the available API data, enabling versatile chart creation.
