← All Case Studies

Unifying discovery across a fragmented enterprise platform

Simplified navigation architecture and introduced intentional AI-powered search to reduce cognitive load and improve work discovery.

Final simplified nav and AI search state

The system was fighting the user

Audit diagram showing overlaps and fragmentation

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 diagram mapping nav surfaces

Audit

Mapped fragmented discovery architecture and misalignment to user workflows.

Simplified architecture map

Simplify

Rebuilt entry points around user intent, recents, and unified search logic.

AI search UI

Enhance

Layered AI-driven ranking and predictive guidance on a coherent discovery foundation.

From fragmented navigation to unified discovery

Before: multiple paths, conflicting results
Before: Multiple paths. Conflicting results. Cognitive overload.
After: simplified architecture
After: One coherent discovery system. AI integrated intentionally.

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