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UX CONTENT GOVERNANCE SYSTEM

Developed a structured UX-driven governance framework to improve content clarity, metadata consistency, and accessibility alignment across learning platforms.

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  • Role: UX & Learning Systems Strategist

  • Scope: Content Governance & Taxonomy Architecture

  • Focus Areas: Style systems, metadata tagging, accessibility alignment

  • Impact: Improved discoverability and reduced content redundancy

The Challenge

Learning assets were inconsistently categorized, naming conventions varied across departments, and reporting visibility was limited due to fragmented metadata structures. This reduced content discoverability, created duplication, and weakened governance controls.

My Approach

I approached governance as a systems architecture initiative rather than a documentation update. I defined structured taxonomy hierarchies, standardized naming conventions, and implemented metadata tagging protocols aligned with reporting requirements. Accessibility standards were integrated into style system guidelines to ensure compliance continuity. By aligning UX writing principles with backend categorization logic, the framework improved clarity, searchability, and lifecycle management across learning assets.

Governance  Architecture Overview

The governance framework below illustrates the structured taxonomy, metadata alignment, and content lifecycle controls implemented to improve clarity and reporting integrity.

Governance & UX Strategy

The framework integrated naming standards, version control protocols, and structured categorization logic to reduce redundancy and strengthen reporting accuracy. Style system documentation ensured consistent microcopy patterns and accessibility alignment across new and existing learning assets.

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This alignment between UX clarity and backend structure reduced friction for both learners and administrators while supporting scalable content governance.

Results & Impact

The governance system improved content discoverability, strengthened metadata consistency, and reduced duplication across learning catalogs.

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Key outcomes included:

• Standardized taxonomy structure across learning objects
• Improved reporting accuracy through structured metadata
• Reduced content redundancy
• Enhanced accessibility alignment and UX clarity

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The result was a governed content ecosystem designed for scalability, clarity, and long-term operational stability.

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