2018
AI
Design System
Multi Platform
Bixby Voice AI
Explore how Bixby Voice AI scaled from a simple command assistant to a platform-ready ecosystem — powered by a unified design system built for conversation.
TL;DR
TL;DR
Designing one of Samsung's first AI voice assistant platforms, I built a scalable design system that powered Bixby's expansion to 3rd-party services and devices across phones, tablets, TVs, refrigerators, and watches.
Responsible for
Built the design system from the ground up-defining language, patterns, components, and screen-level mockups
Led onboarding for global teams and supported 52+ service teams in integrating with the Bixby platform
Participated in a cross-functional committee to ensure platform scalability across watch, TV, and refrigerator interfaces
Published comprehensive design guidelines and UI kits for both internal apps and external services joining the Bixby Marketplace
Conducted training sessions for internal and external stakeholders across Korea, the U.S., and India
Tools used
Sketch
Adobe Illustrator
Adobe Photoshop
HTML, CSS
Relevant links
Patent USD941830S1
CES 2019 : Showcase for implementing Bixby design system on cross-device ecosystem
Galaxy Note 9 unpack event : Introducing new Bixby Design System
Problem
Problem
Bixby 1.0 was not scalable — every voice feature required manual design and engineering, making expansion slow and inconsistent. To scale Bixby as an open AI platform, we needed a flexible framework that allowed third parties to easily contribute services within a consistent system.
In Bixby version 1.0, adding new voice commands meant designers and developers had to build each experience from scratch. This made expansion slow, inconsistent, and difficult to scale-especially for external partners.
To solve this, we aimed to create a system where anyone could register a feature set through a website. Outputs would follow a unified design system and conversational model, enabling seamless, guided voice interactions across various device platforms, such as phones, tablets, TVs, refrigerators, and watches.
Design Process
Design Process
I built a scalable design system from the ground up, enabling consistent voice experiences across devices and external services.
The process began by collecting all existing Bixby 1.0 screens and grouping them based on information architecture to identify reusable components and patterns. After analyzing the types of content surfaced in Bixby responses, I defined four foundational system layers:
Language: color palette, spacing, typography, and iconography
Patterns: list-type combinations and cards with text and imagery
Components: controllers, input fields, pickers, carousels, image galleries, and selection modules-all designed with interaction states
Use Case Mockups: screen-level examples demonstrating how components adapt to real-world voice interactions
The resulting design system enabled consistent, scalable voice experiences across phones, tablets, watches, TVs, and refrigerators. Once finalized, I published comprehensive design guidelines and led onboarding sessions for Samsung's design teams in Korea, the U.S., and India.
Final Design
Final Design
The new design system launched with Bixby 2.0, standardizing the experience and enabling seamless in-app interactions across devices.
With the launch of Galaxy Note 9 in August 2018, Bixby 2.0 introduced a scalable design system that brought consistency to layouts, fonts, and color usage across phones, tablets, TVs, and more. Unlike version 1.0, where tasks often redirected users to external apps, Bixby 2.0 allowed users to complete tasks directly within the voice interface through guided, conversational flows.
The new system also supported third-party service integration-ensuring that both internal and external services could adopt the same unified UI and voice interaction model, paving the way for Bixby's open platform evolution.
Impact
Impact
76 services were integrated at launch, showcasing the platform's scalability from day one.
Bixby Voice AI shipped on 1.4 billion Samsung devices across global markets.
Lesson learned
Lesson learned
Designing AI voice assistant platforms led me to deeply explore how to blend suggestion models into UX, build scalable systems, and lead cross-functional collaboration at scale.
Voice-First Design and System Scalability
As an early voice AI assistant platform, Bixby required a new design mindset-one that prioritized conversational flows, contextual suggestions, and modular UI patterns. I learned how to design a scalable system that supported third-party services and adapted across phones, tablets, TVs, refrigerators, and watches.
Cross-Team Integration and Knowledge Sharing
Working with 52+ internal and external service teams taught me to deeply understand varied app contexts and unify them under one system. Publishing guidelines and leading onboarding sessions in Korea, the U.S., and India emphasized the importance of documentation and education for consistent global adoption.
Interested in the full story?
I'd love to share more behind-the-scenes insights - feel free to reach out for a deeper dive.
More Works
(NY® — 02)
©2024
More Works
(NY® — 02)
©2024
2018
AI
Design System
Multi Platform
Bixby Voice AI
Explore how Bixby Voice AI scaled from a simple command assistant to a platform-ready ecosystem — powered by a unified design system built for conversation.
TL;DR
Designing one of Samsung's first AI voice assistant platforms, I built a scalable design system that powered Bixby's expansion to 3rd-party services and devices across phones, tablets, TVs, refrigerators, and watches.
Responsible for
Built the design system from the ground up-defining language, patterns, components, and screen-level mockups
Led onboarding for global teams and supported 52+ service teams in integrating with the Bixby platform
Participated in a cross-functional committee to ensure platform scalability across watch, TV, and refrigerator interfaces
Published comprehensive design guidelines and UI kits for both internal apps and external services joining the Bixby Marketplace
Conducted training sessions for internal and external stakeholders across Korea, the U.S., and India
Tools used
Sketch
Adobe Illustrator
Adobe Photoshop
HTML, CSS
Relevant links
Patent USD941830S1
CES 2019 : Showcase for implementing Bixby design system on cross-device ecosystem
Galaxy Note 9 unpack event : Introducing new Bixby Design System
Problem
Bixby 1.0 was not scalable — every voice feature required manual design and engineering, making expansion slow and inconsistent. To scale Bixby as an open AI platform, we needed a flexible framework that allowed third parties to easily contribute services within a consistent system.
In Bixby version 1.0, adding new voice commands meant designers and developers had to build each experience from scratch. This made expansion slow, inconsistent, and difficult to scale-especially for external partners.
To solve this, we aimed to create a system where anyone could register a feature set through a website. Outputs would follow a unified design system and conversational model, enabling seamless, guided voice interactions across various device platforms, such as phones, tablets, TVs, refrigerators, and watches.
Design Process
I built a scalable design system from the ground up, enabling consistent voice experiences across devices and external services.
The process began by collecting all existing Bixby 1.0 screens and grouping them based on information architecture to identify reusable components and patterns. After analyzing the types of content surfaced in Bixby responses, I defined four foundational system layers:
Language: color palette, spacing, typography, and iconography
Patterns: list-type combinations and cards with text and imagery
Components: controllers, input fields, pickers, carousels, image galleries, and selection modules-all designed with interaction states
Use Case Mockups: screen-level examples demonstrating how components adapt to real-world voice interactions
The resulting design system enabled consistent, scalable voice experiences across phones, tablets, watches, TVs, and refrigerators. Once finalized, I published comprehensive design guidelines and led onboarding sessions for Samsung's design teams in Korea, the U.S., and India.
Final Design
The new design system launched with Bixby 2.0, standardizing the experience and enabling seamless in-app interactions across devices.
With the launch of Galaxy Note 9 in August 2018, Bixby 2.0 introduced a scalable design system that brought consistency to layouts, fonts, and color usage across phones, tablets, TVs, and more. Unlike version 1.0, where tasks often redirected users to external apps, Bixby 2.0 allowed users to complete tasks directly within the voice interface through guided, conversational flows.
The new system also supported third-party service integration-ensuring that both internal and external services could adopt the same unified UI and voice interaction model, paving the way for Bixby's open platform evolution.
Impact
76 services were integrated at launch, showcasing the platform's scalability from day one.
Bixby Voice AI shipped on 1.4 billion Samsung devices across global markets.
Lesson learned
Designing AI voice assistant platforms led me to deeply explore how to blend suggestion models into UX, build scalable systems, and lead cross-functional collaboration at scale.
Voice-First Design and System Scalability
As an early voice AI assistant platform, Bixby required a new design mindset-one that prioritized conversational flows, contextual suggestions, and modular UI patterns. I learned how to design a scalable system that supported third-party services and adapted across phones, tablets, TVs, refrigerators, and watches.
Cross-Team Integration and Knowledge Sharing
Working with 52+ internal and external service teams taught me to deeply understand varied app contexts and unify them under one system. Publishing guidelines and leading onboarding sessions in Korea, the U.S., and India emphasized the importance of documentation and education for consistent global adoption.
Interested in the full story?
I'd love to share more behind-the-scenes insights - feel free to reach out for a deeper dive.
More Works
(NY® — 02)
©2024
2018
AI
Design System
Multi Platform
Bixby Voice AI
Explore how Bixby Voice AI scaled from a simple command assistant to a platform-ready ecosystem — powered by a unified design system built for conversation.
TL;DR
Designing one of Samsung's first AI voice assistant platforms, I built a scalable design system that powered Bixby's expansion to 3rd-party services and devices across phones, tablets, TVs, refrigerators, and watches.
Responsible for
Built the design system from the ground up-defining language, patterns, components, and screen-level mockups
Led onboarding for global teams and supported 52+ service teams in integrating with the Bixby platform
Participated in a cross-functional committee to ensure platform scalability across watch, TV, and refrigerator interfaces
Published comprehensive design guidelines and UI kits for both internal apps and external services joining the Bixby Marketplace
Conducted training sessions for internal and external stakeholders across Korea, the U.S., and India
Tools used
Sketch
Adobe Illustrator
Adobe Photoshop
HTML, CSS
Relevant links
Patent USD941830S1
CES 2019 : Showcase for implementing Bixby design system on cross-device ecosystem
Galaxy Note 9 unpack event : Introducing new Bixby Design System
Problem
Bixby 1.0 was not scalable — every voice feature required manual design and engineering, making expansion slow and inconsistent. To scale Bixby as an open AI platform, we needed a flexible framework that allowed third parties to easily contribute services within a consistent system.
In Bixby version 1.0, adding new voice commands meant designers and developers had to build each experience from scratch. This made expansion slow, inconsistent, and difficult to scale-especially for external partners.
To solve this, we aimed to create a system where anyone could register a feature set through a website. Outputs would follow a unified design system and conversational model, enabling seamless, guided voice interactions across various device platforms, such as phones, tablets, TVs, refrigerators, and watches.
Design Process
I built a scalable design system from the ground up, enabling consistent voice experiences across devices and external services.
The process began by collecting all existing Bixby 1.0 screens and grouping them based on information architecture to identify reusable components and patterns. After analyzing the types of content surfaced in Bixby responses, I defined four foundational system layers:
Language: color palette, spacing, typography, and iconography
Patterns: list-type combinations and cards with text and imagery
Components: controllers, input fields, pickers, carousels, image galleries, and selection modules-all designed with interaction states
Use Case Mockups: screen-level examples demonstrating how components adapt to real-world voice interactions
The resulting design system enabled consistent, scalable voice experiences across phones, tablets, watches, TVs, and refrigerators. Once finalized, I published comprehensive design guidelines and led onboarding sessions for Samsung's design teams in Korea, the U.S., and India.
Final Design
The new design system launched with Bixby 2.0, standardizing the experience and enabling seamless in-app interactions across devices.
With the launch of Galaxy Note 9 in August 2018, Bixby 2.0 introduced a scalable design system that brought consistency to layouts, fonts, and color usage across phones, tablets, TVs, and more. Unlike version 1.0, where tasks often redirected users to external apps, Bixby 2.0 allowed users to complete tasks directly within the voice interface through guided, conversational flows.
The new system also supported third-party service integration-ensuring that both internal and external services could adopt the same unified UI and voice interaction model, paving the way for Bixby's open platform evolution.
Impact
76 services were integrated at launch, showcasing the platform's scalability from day one.
Bixby Voice AI shipped on 1.4 billion Samsung devices across global markets.
Lesson learned
Designing AI voice assistant platforms led me to deeply explore how to blend suggestion models into UX, build scalable systems, and lead cross-functional collaboration at scale.
Voice-First Design and System Scalability
As an early voice AI assistant platform, Bixby required a new design mindset-one that prioritized conversational flows, contextual suggestions, and modular UI patterns. I learned how to design a scalable system that supported third-party services and adapted across phones, tablets, TVs, refrigerators, and watches.
Cross-Team Integration and Knowledge Sharing
Working with 52+ internal and external service teams taught me to deeply understand varied app contexts and unify them under one system. Publishing guidelines and leading onboarding sessions in Korea, the U.S., and India emphasized the importance of documentation and education for consistent global adoption.
Interested in the full story?
I'd love to share more behind-the-scenes insights - feel free to reach out for a deeper dive.
More Works
©2024