Unifying discovery across a fragmented enterprise platform.
Transformed a fragmented navigation and search system into a unified, intent-driven discovery foundation — reducing workflow confusion and enabling context-aware AI ranking across the platform.
The system was fighting the user.
Discovery wasn’t failing because users lacked training.
It was failing because the architecture was fragmented.
Navigation paths were duplicated. Terminology conflicted across screens.
Two separate search systems returned different results for the same query.
Users weren’t unsure how it worked — they were unsure where their work lived.
Navigation, search, and taxonomy had evolved independently over time. What looked like a usability issue was a structural misalignment.
Discovery was inconsistent. Results were unreliable. Confidence eroded.
In addition to needing AI intelligence, the foundation needed to be simplified.
Audit → Simplify → Enhance with AI.
Audit
Mapped fragmented discovery architecture and misalignment to user workflows.
Simplify
Rebuilt entry points around user intent, recents, and unified search logic.
Enhance
Layered AI-driven ranking and predictive guidance on a coherent discovery foundation.
From fragmented navigation to unified discovery.
Impact.
- Re-architected the primary landing experience around user intent
- Introduced recents and workflow-based entry points
- Surfaced discoverability of platform capabilities and education resources
- Reduced fragmented navigation into a unified discovery foundation
- Standardized taxonomy to align with user mental models
- Centralized search logic into a single, scalable architecture