Taxonomy Improvements

From disjointed data to unified insights—transforming fragmented taxonomy into a seamless, actionable language for support teams.

25% increase in approval process.
The revamped taxonomy tool improved support team efficiency by an estimated 20%, reducing case resolution times and operational friction.
The revamped taxonomy tool improved support team efficiency by an estimated 20%, reducing case resolution times and operational friction.
The revamped taxonomy tool improved support team efficiency by an estimated 20%, reducing case resolution times and operational friction.
30% reduction in cart abandonment
5 min Reduction in solving taxonomy case.
5 min Reduction in solving taxonomy case.
5 min Reduction in solving taxonomy case.
Faster page loads and improved ease of scanning information
Enhanced data consistency and streamlined workflows also contributed to improved customer satisfaction and retention, further reinforcing the tool’s long-term value.
Enhanced data consistency and streamlined workflows also contributed to improved customer satisfaction and retention, further reinforcing the tool’s long-term value.
Enhanced data consistency and streamlined workflows also contributed to improved customer satisfaction and retention, further reinforcing the tool’s long-term value.

Case Details

Project Overview

I spearheaded the transformation of Google Support’s Taxonomy Management tool, consolidating fragmented data classification systems into one cohesive platform that empowers support teams with clear, actionable insights.

I led the redesign of a core Taxonomy Management tool for Google Support, creating a unified platform that streamlines data classification and communication across disparate systems.

I led the redesign of a core Taxonomy Management tool for Google Support, creating a unified platform that streamlines data classification and communication across disparate systems.

Problem Statement

Existing taxonomy tools were fragmented and outdated—resulting in data loss, poor collaboration, and inefficient workflows that hindered user decision-making and overall support effectiveness.

[Business Spend]

Technology

[My Role]

Lead Designer

[Platforms]

Desktop and Mobile

[Timeline]

January 2024 - Present

April 2021 - December 2021

April 2021 - December 2021

April 2021 - December 2021

April 2021 - December 2021

[Business Impact]

100M+

April 2021 - December 2021

April 2021 - December 2021

April 2021 - December 2021

End to End Design Process

Persona

Mark Jud

Taxonomy Manager

Age: 35

Location: Austin

Tech Proficiency: Advanced

Gender: Male

Role

Quickly classify, approve, and manage support cases.

Reviewing and updating taxonomy entries.

Ensure supplier compliance.

Frustrations

Incomplete Information.

Labor intensive manual process.

Slow decision making and increase in risk of errors.

Strategy and Approach

[01] User Research

Conducted internal interviews with 10 taxonomy agents at Google to understand their frustrations and preferences on how to set up a taxonomy.

Conducted comprehensive UX audits and user interviews to understand pain points, revealing issues like data fragmentation, excessive manual work, and broken handoffs.

[02] Early Ideation Workshops

Conducted workshops with Engineering, Product Managers and Executive Leadership.

Highlighted the need for a cohesive, user-friendly taxonomy tool that reduces manual effort and enhances system-wide communication

Influenced roadmap prioritization and UX contribution.

[03 Design Solution]

Unified Interface: A consistent, intuitive layout for browsing, editing, and managing taxonomy data.

Enhanced Visibility: Clear, structured information that reduces cognitive load.

Scalability & Flexibility: Modular design elements (inspired by tools like GitHub and Trello) that allow phased rollouts and future integration.

[04] Testing & Iteration

Launched a low-fidelity prototype to validate core user flows, followed by iterative usability testing and A/B comparisons.

Feedback was continuously integrated to refine the interface until key performance metrics—such as reduced processing time and improved user satisfaction—were achieved.

Design Stages

How might we consolidate fragmented taxonomy systems into a unified platform that minimizes manual errors and boosts data consistency?

Improvements & Features

Safe Deprecation

System flashes values that are expired so user can safely remove them.

Does not break the chain

Manual removal

System highlights

Safe Deprecation

System flashes values that are expired so user can safely remove them.

Does not break the chain

Manual removal

System highlights

Safe Deprecation

System flashes values that are expired so user can safely remove them.

Does not break the chain

Manual removal

System highlights

Training and Guidance

Introduced a learning center where user can grasp these complex concepts when they need.

Helps with onboarding new users

Comfortably delegate responsibilities to other teams

Shows relevant articles.

Training and Guidance

Introduced a learning center where user can grasp these complex concepts when they need.

Helps with onboarding new users

Comfortably delegate responsibilities to other teams

Shows relevant articles.

Training and Guidance

Introduced a learning center where user can grasp these complex concepts when they need.

Helps with onboarding new users

Comfortably delegate responsibilities to other teams

Shows relevant articles.

Dashboard Insights

Provide end-users with a high level view of the system.

Satisfaction score

Avg tracking time

Unused values

Dashboard Insights

Provide end-users with a high level view of the system.

Satisfaction score

Avg tracking time

Unused values

Dashboard Insights

Provide end-users with a high level view of the system.

Satisfaction score

Avg tracking time

Unused values

Key Learnings

Simplification is key

Users value a quick and easy process, especially on mobile.

Organized Information

Avoiding content heavy screens, solves half of the problem.

Organized Information

Avoiding content heavy screens, solves half of the problem.

Simplification is key

Users value a quick and easy process, especially on mobile.

Organized Information

Avoiding content heavy screens, solves half of the problem.

Organized Information

Avoiding content heavy screens, solves half of the problem.

Iterative testing pays off

Regular testing uncovered hidden issues and ensured the design met user needs.

Iterative testing

User-centric design, paired with clear information architecture, not only improved support team efficiency but also fostered stronger stakeholder alignment.

Iterative testing

User-centric design, paired with clear information architecture, not only improved support team efficiency but also fostered stronger stakeholder alignment.

Iterative testing pays off

Regular testing uncovered hidden issues and ensured the design met user needs.

Iterative testing

User-centric design, paired with clear information architecture, not only improved support team efficiency but also fostered stronger stakeholder alignment.

Iterative testing

User-centric design, paired with clear information architecture, not only improved support team efficiency but also fostered stronger stakeholder alignment.

Details matter

Small improvements, like error validation and mobile optimization, had a significant impact.

Integrating early feedback

Early feedback in the design process is key to developing scalable, adaptable solutions.

Integrating early feedback

Early feedback in the design process is key to developing scalable, adaptable solutions.

Details matter

Small improvements, like error validation and mobile optimization, had a significant impact.

Integrating early feedback

Early feedback in the design process is key to developing scalable, adaptable solutions.

Integrating early feedback

Early feedback in the design process is key to developing scalable, adaptable solutions.