Amazon Quicksight
Amazon QuickSight is a cloud-powered business intelligence service enabling interactive dashboards and machine-learning insights. Focused on enhancing usability and scaling core interaction features in 2020. Improved filtering and drill-down experiences for dashboard readers.
ROLE
My team consisted of Product Designers, User Researchers, Design Technologists and Visual Designers. I defined a strategic product design direction for dynamic dashboards focusing on filtering and drill down interaction models. I worked cross-functionally to defining and align on development roadmap priorities. I was also responsible for supporting key launches for core analytics focusing on filtering, dashboard controls, parameter creation, and authoring workflows that enabled for a more streamlined reader dashboard CX.
I partnered closely with a researcher in conducting both generative and task-based studies to baseline existing tools across top tasks. Our success was measured as year-over-year improvement to SUS score of the tools, Voice of customer quarterly surveys as well as more targeted engagements with our user based.
IMPACT
We were working towards an increase in adoption of core dashboard interactivity features, as well as 10% improved usability measured through quarterly baselines.
The problem
Core Dynamic features not supporting readers
Today, Authors are manually configuring filter actions on visuals in order to enable dashboard interactivity for readers. We know that 80% of filter actions are author configured on pivot tables (55%) and tables (24%) as the top two chart types configured for cross-visual interaction, followed by Donuts (6%), vertical bars (6%), horizontal bars (6%) and pie charts (5%). Authors choose a single-click interaction model for their readers (98%) and right-click navigation menu (2%) to allow cross-visual filtering today. We have heard authors needing more support to conduct on-screen data analysis as well as Readers wanting more flexibility to slice and dice data on the screen.
