Case
The Challenge
Users need to improve how they monitor and react to merchandise alerts data within one tool. Tedious and manual alternatives became the standard process as users outgrew the existing software’s original functionality.
My Role
Lead designer responsible for UXUI and research for enterprise software that supports our global users. Facilitate collaborative workshops and stakeholder alignment.
Solutions
Grid Layout
The solution offers a comprehensive view of merchandise data in a grid layout, mirroring organizational documents. This format ensures seamless data translation and introduces new functionalities for power users. Customizable displays enhance individual reporting needs and scanning efficiency.
The layout features containers, rows, and columns, each with scrollable content tailored to its category. This setup automates manual tasks, streamlining merchandise report creation.
Dynamic Content
The merchandise grid allows for easy scanning with filters and personalized settings, combining innovative data displays with familiar document layouts. Research revealed multiple alert management and edit opportunities that could improve task workflows. We built the following feature enhancements to empower user capabilities.
Custom Profile Settings
Profile Settings to create multiple default grid views. Usability tests revealed that users need to apply different filter and data combinations depending on the report but it's difficult to manually adjust the variances every time. Profile settings allow users to modify the grid to their personal preference for a quicker and accessible analysis of the alerts.
Research
Identify & Prioritize User Needs
A Mind Map was made to visualize the synthesis of user interview data and feature requests. The mind map also influenced the design strategy for prioritization and level of effort. We were able to quickly understand what the problems was, engage in discussion, and analyze for feasibility based on the non linear insights of the mind map.
Usability Testing
Prototypes of low fidelity wireframes were used to validate usability and test new concepts to determine their value. Prototypes helped make improvements for filter and data organization interactions. We learned too many design patterns were introduced that increased cognitive load which made the app feel complicated.
Research 4
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Learnings
Outcomes