
Client
At Apple, I played a key role on the Siri team, where I focused on enhancing the AI/ML and voice recognition systems that powered the "Hey Siri" feature. My work was critical in improving the accuracy and quality of this functionality across 37 different languages, ensuring that Siri could reliably recognize and respond to users' voice commands in diverse linguistic and acoustic environments.
This involved deep collaboration with cross-functional teams, including data engineers, natural language analysts, and product managers, to refine wake-word detection and minimize false activations.
I helped design and instrument the five key internal tools that allowed the machine learning models to apply clean and accurate data, along with designing and streamlining the entirety of the Siri project lifecycle—from client ingestion to data quality assurance—ensuring efficient data processing and continuous improvement in Siri’s responsiveness and accuracy.
My work contributed to Apple's ongoing mission to make Siri more intuitive, reliable, and accessible for users worldwide, reinforcing the assistant’s role as a seamless, voice-first interface across Apple’s ecosystem.
Overview
CLIENT | Apple - Siri Team
ROLE | Lead Interaction Designer
PLATFORM | Web
PRODUCT| AI/ML Internal Tools and Project Management Software
GOAL | Increased efficiency of Siri projects
TIMELINE | 8 Months
Responsibilities
IA - Structure, Application Mapping
UX - Competitive Analysis, User Research & User Testing
UI - Design System Deployment & High-Fidelity Mockups
Leadership - Design Thinking Facilitation and Product Management

Problem History
Siloed Workstreams. Webs of Dependencies.
Apple’s unwavering commitment to security and privacy extends beyond its consumer-facing products and into its internal operations. While this focus is critical to protecting user data and intellectual property, it has also created structural challenges for internal teams working on Siri’s development.
A key challenge was the lack of transparency across teams, even when they were working on the same project. Due to Apple’s strict privacy policies, teams often had no visibility into the full scope of a project, making it difficult to understand dependencies or coordinate efforts. On average, up to nine different teams could be working simultaneously on a Siri-related initiative, yet they lacked insight into who was upstream or downstream in their workflow.
A fragmented internal tool ecosystem further exacerbated this lack of transparency. Instead of a unified system, multiple internal tools—combined with homegrown, ad-hoc solutions—were cobbled together to manage workflows, data processing, and project tracking. While some of the tools were built to uphold Apple’s highest standards for data quality and privacy, they often resulted in inefficiencies, misalignment, and duplicated efforts.
Without a streamlined approach to managing Siri’s development lifecycle, teams faced operational friction that hindered collaboration, slowed down iteration cycles, and made it difficult to ensure consistent data quality across projects.
Product & UX
Multiple Teams and Their Dependent Workstreams.

Problems to Solve
How can Design Thinking help bridge the gap of understanding and empathy between leaders and their workforce?
01
How can an organization help contribute more accurate voice data for the Siri ML algorithms?
02
How can an interface empower our native language analysts to complete their tasks quickly and consistently?
03
Product & UX
Target Audience
Design Thinking
Using the 5 Whys to Get to the Root of the Problem.
I used the 5 Whys design thinking activity to help the global team uncover the root cause of their request. The initial issue was that Natural Language Analysts felt their work wasn’t being properly counted, leading to stress and unclear performance tracking.
This problem statement shaped the product design by clarifying the distinct jobs to be done (JTBD) for both managers and analysts.
By digging deeper, we identified the key problem statement:
As a manager, I need to quickly see my overall team's metrics with the control to dial into specific people or locations, so that I can better coach my team and keep projects on track.




Product & UX
Security, Privacy, and the Waterfall.
Changing Apple's internal operations wasn’t an option, but minimizing friction and streamlining manual processes along the waterfall ensured product success and adoption.

Customer Request Intake
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Issue: No integration with Apple’s internal systems, causing manual tracking inefficiencies.
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Solution: Integrated request portal with syncing to Siri projects, and auto-population of teams and projects for faster assignments.
Team Assignment & Project Setup
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Issue: No centralized way to assign teams, managers, and training.
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Solution: Intelligent matching system with syncing to Radar (Apple's internal ticketing software), Siri projects, and auto-population of teams and projects for faster assignments.
Task Management & Monitoring
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Issue: No visibility into task progress, dependencies, or blockers.
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Solution: Task management system integrated with Apple’s tools, plus real-time project working sessions and multi-granular dashboards for tracking.
Quality Assurance & Data Validation
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Issue: Slow manual QA processes increase errors.
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Solution: A centralized QA system cross-checks data, with a visual review interface and direct ingestion into Siri’s training model.