Overview
I led the unification of Intel’s fragmented search ecosystem, consolidating dozens of siloed implementations into a single, intent-driven architecture powered by Coveo.
This required organizational alignment as much as interface redesign.
Role & Scope
The real challenge wasn't designing a better search interface. It was getting dozens of content owners across business units to agree on what "better" meant, then building a system that worked for all of them.
Challenge
Intel already had powerful search technology.
The issue was fragmentation:
Users optimized for none of the above.
Time-to-answer averaged 3–4 minutes.
Strategy: Standardize Before Enhancing
Establish Shared Taxonomy
Facilitated cross-functional workshops to replace department-led logic with user-intent modeling.
Redesign Filters Based on Analytics
Facets were rebuilt around real query data, not org charts.
Create a Universal Result Card
A modular result system capable of rendering products, support articles, drivers and whitepapers consistently. All patterns were codified into the Design System.
Accessibility at Scale
Coveo’s default components contained 47 accessibility failures.
I led a custom rebuild:
Search became fully WCAG 2.1 AA compliant.
Impact
Key Insights
Detailed Results
When systems break, teams slow down.
I work across UX, architecture and content to prevent fragmentation and help organizations move faster with confidence.
Overview
I led the unification of Intel’s fragmented search ecosystem, consolidating dozens of siloed implementations into a single, intent-driven architecture powered by Coveo.
This required organizational alignment as much as interface redesign.
Overview
I led the unification of Intel’s fragmented search ecosystem, consolidating dozens of siloed implementations into a single, intent-driven architecture powered by Coveo.
This required organizational alignment as much as interface redesign.
Overview
I led the unification of Intel’s fragmented search ecosystem, consolidating dozens of siloed implementations into a single, intent-driven architecture powered by Coveo.
This required organizational alignment as much as interface redesign.
Overview
I led the unification of Intel’s fragmented search ecosystem, consolidating dozens of siloed implementations into a single, intent-driven architecture powered by Coveo.
This required organizational alignment as much as interface redesign.
Challenge
Intel already had powerful search technology.
The issue was fragmentation:
Users optimized for none of the above.
Time-to-answer averaged 3–4 minutes.
Challenge
Intel already had powerful search technology.
The issue was fragmentation:
Users optimized for none of the above.
Time-to-answer averaged 3–4 minutes.
Challenge
Intel already had powerful search technology.
The issue was fragmentation:
Users optimized for none of the above.
Time-to-answer averaged 3–4 minutes.
Challenge
Intel already had powerful search technology.
The issue was fragmentation:
Users optimized for none of the above.
Time-to-answer averaged 3–4 minutes.
Strategy: Standardize Before Enhancing
Establish Shared Taxonomy
Facilitated cross-functional workshops to replace department-led logic with user-intent modeling.
Redesign Filters Based on Analytics
Facets were rebuilt around real query data, not org charts.
Create a Universal Result Card
A modular result system capable of rendering products, support articles, drivers and whitepapers consistently. All patterns were codified into the Design System.
Strategy: Standardize Before Enhancing
Establish Shared Taxonomy
Facilitated cross-functional workshops to replace department-led logic with user-intent modeling.
Redesign Filters Based on Analytics
Facets were rebuilt around real query data, not org charts.
Create a Universal Result Card
A modular result system capable of rendering products, support articles, drivers and whitepapers consistently. All patterns were codified into the Design System.
Strategy: Standardize Before Enhancing
Establish Shared Taxonomy
Facilitated cross-functional workshops to replace department-led logic with user-intent modeling.
Redesign Filters Based on Analytics
Facets were rebuilt around real query data, not org charts.
Create a Universal Result Card
A modular result system capable of rendering products, support articles, drivers and whitepapers consistently. All patterns were codified into the Design System.
Strategy: Standardize Before Enhancing
Establish Shared Taxonomy
Facilitated cross-functional workshops to replace department-led logic with user-intent modeling.
Redesign Filters Based on Analytics
Facets were rebuilt around real query data, not org charts.
Create a Universal Result Card
A modular result system capable of rendering products, support articles, drivers and whitepapers consistently. All patterns were codified into the Design System.
Accessibility at Scale
Coveo’s default components contained 47 accessibility failures.
I led a custom rebuild:
Search became fully WCAG 2.1 AA compliant.
Accessibility at Scale
Coveo’s default components contained 47 accessibility failures.
I led a custom rebuild:
Search became fully WCAG 2.1 AA compliant.
Accessibility at Scale
Coveo’s default components contained 47 accessibility failures.
I led a custom rebuild:
Search became fully WCAG 2.1 AA compliant.
Accessibility at Scale
Coveo’s default components contained 47 accessibility failures.
I led a custom rebuild:
Search became fully WCAG 2.1 AA compliant.
Impact
Impact
Impact
KPI
Search Velocity
Improvement
75% faster
Metric Type
User Efficiency
KPI
Zero-Result Rate
Improvement
-15%
Metric Type
Data Discovery
KPI
Keystroke Count
Improvement
60% reduction
Metric Type
Motor Accessibility
KPI
Crawler Visibility
Improvement
18% increase
Metric Type
Machine-Readability
Impact
KPI
Search Velocity
Improvement
75% faster
Metric Type
User Efficiency
KPI
Zero-Result Rate
Improvement
-15%
Metric Type
Data Discovery
KPI
Keystroke Count
Improvement
60% reduction
Metric Type
Motor Accessibility
KPI
Crawler Visibility
Improvement
18% increase
Metric Type
Machine-Readability
Detailed Results
Detailed Results
Detailed Results
Detailed Results
Role & Scope
The real challenge wasn't designing a better search interface. It was getting dozens of content owners across business units to agree on what "better" meant, then building a system that worked for all of them.
Key Insights
Role & Scope
The real challenge wasn't designing a better search interface. It was getting dozens of content owners across business units to agree on what "better" meant, then building a system that worked for all of them.
Key Insights
Role & Scope
The real challenge wasn't designing a better search interface. It was getting dozens of content owners across business units to agree on what "better" meant, then building a system that worked for all of them.
Key Insights
Role & Scope
The real challenge wasn't designing a better search interface. It was getting dozens of content owners across business units to agree on what "better" meant, then building a system that worked for all of them.