
Research
I joined this project after initial research had already been conducted by Don Hiles, but his findings drove my design approach. I will summarize them here.
FINDINGS
01
Users of NIQ's consumer intelligence products worked either for manufacturers or retailers
02
Users wanted to increase sales, grow distribution, and understand consumer behavior in order to drive strategy
03
Up to this point, NIQ's 15 different datasets were not cross-functional. If a user wanted a particular piece of data, they had to access the application specific to that dataset
04
Users were improvising their own custom tools to pull data sources together
05
Users would have to switch between 4-7 different reports or tools in order to identify answers to business questions
06
Competitors generally offered less robust data, but they were gaining an edge because of UX advantages
Early iteration
We needed to define the relationship between KPIs, reports, and datasets not just for the dashboard, but, by extension, the entire application. Our users weren't going to be power user analysts, because that group had their own custom tools; we designed for someone looking for a custom high-level overview.
Usability testing
Once technical requirements solidified, we were able to land on a mid-fidelity design that we wanted to put in front of users. The test also included flows for creating KPIs and alerts.
FINDINGS
01
Overall, KPI creation functionality matched user expectations
02
We needed to make the customization of alert parameters more straightforward
03
We needed to make benchmarking for KPIs easier to understand
04
Users wanted to be able to update reports and KPIs from the dashboard, but this wouldn't be technically feasible on the backend
Significant reduction in cognitive load
Designing for the user's mental model
Senior Manager, Multinational Agricultural Corporation
Chief Digital and Marketing Officer, Multinational Cosmetics Company

