Improving Usability and Reducing Overhead

AI Solution

Consumption Analytics is a web app which monitors spend and consumption of resources on public clouds such as AWS and Microsoft Azure. My role on this product was design lead to 3 designers.

Problem

Reports create digestible sets of data for users to utilize with themselves and share with others. My task was to redesign and improve usability for this HPE purchased product -- bringing it closer to HPE branding in style and simplifying the UI so users could work more efficiently.

Process

Research Phase

  • Discovery research with existing customers
  • Usability research with both existing customers and target personas
  • Production application research and validation

AI Solution

Design Phase

  • Low fidelity to medium fidelity designs
  • Hi fidelity designs and prototypes

Implementation Phase

  • Working with engineering to implement designs

Solution

Dashboards surface metrics sourced from reports for a high level view.

Existing reports did not have visualizations. In this product refresh we added data visualizations from an at-a-glance view and also a drilldown view.

AI Solution

In addition to being able to use "out-of-the-box" reports, users can build reports. Users are able to create charts based on their needs for the report, or edit existing ones.

Report Building Step 2
  • Abbreviated version. A full case study is available for this project *