Discovery
High-volume teams were spending too much time switching tools, manually filtering/exporting data, and chasing operational issues (shipping delays, returns backlog, payment risk). Users needed a clearer information hierarchy, scalable navigation, and more “insight → action” pathways across modules.
Goals
1
Make operational status instantly readable.
Reduce visual noise and standardise UI patterns so users can assess information quickly.
2
Create consistent decision-making flows.
Every metric and alert should lead to a view where users can resolve work.
3
Support scale and complexity.
Ensure navigation, filters, and dashboards can grow without breaking.
Impact
Reduced operational ambiguity through clearer hierarchy and consistent patterns.
Faster path from metrics to resolution through optimised actions.
Increased trust in AI actions with confirmation and transparency.
Note
This project was completed under NDA. To respect confidentiality, I’ve anonymised internal workflows and visuals. Any visuals shown are available to the public. I’m happy to discuss my process, decisions, and learnings with more depth.
