I created 3 versions of the project dashboard, each with a different emphasis and categorization on key info. Through this approach, I aimed to identify the essential information and its hierarchy.
A. Project overview + data
Sensor types, project category and output features. Data explorer provides a landscape of the data.
B. Project overview + impulse
Target device, sensor type and project category. Impulse section get you quick view of model.
C. Maximizing information
Contains most of info within the project. Data section allows you to see train/spilt dataset.
Later I work closely with my product manager and engineers and iterate from there. We ended up with version C out of 2 reasons:
- Key information are covered and categorized correctly.
- Design is flexible and scalable to incorporate different kinds of projects.
These 2 reasons address the user pain points of inefficient, Indistinguishable. We also address the third pain point by removing the inaccessible tabs.