Hi! It’s May!
6+ years of experience building B2B SaaS web platforms and B2C mobile applications.
Projects
Making City Exploration Inclusive for Blind Users
Won the top prize “People’s Choice”at the UW HCDE open house with this city exploration app for low vision users.
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Healthcare Benchmarking Tool That Raised Renewals
70% of users with this feature renewed contracts, and 66% of hesitant clients were converted.
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Boosting User Retention and Revenue for a Game
Defined product strategy alongside the PM, resulting in a 113% growth in ARPDAU and a 28% in D1 retention
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Enhancing Engagement and Reducing Drop-off Rates
Redesigned onboarding UX and drove a 73% boost in weekly active users and cut D1 drop-off by 68%.
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Enhancing Engagement with “Lisa AI”
Designing an AI assistant to simplify cohort creation and deliver actionable insights for clinical leaders.
Still developing...
Hi! It’s May!
6+ years of experience building B2B SaaS web platforms and B2C mobile applications.
Making City Exploration Inclusive for Blind Individuals
WHAT
Encourage individuals with low or no vision to explore the city using an app.
RESULT
Won the top prize, “People’s Choice” at the HCDE open house.
B2C
Accessibility
End-to-End Design
View Project
Healthcare Benchmarking Tool That Raised Renewals
WHAT
(NDA) Support hospitals in benchmarking their performance.
RESULT
Led to 70% contract renewals and converting 66% of hesitant clients.
B2B SaaS
Ambiguity
Cross-team
View Project
Boosting Retention & Revenue for a Game
WHAT
Implemented a set of features to restore retention in a declining game.
RESULT
Increased ad revenue per DAU by 113% and D1 retention by 28%.
Product Thinking
Data-Driven Design
View Project
Enhancing Engagement and Reducing Drop-off Rates
WHAT
(NDA) Redesigned onboarding and introduced personalized recommendation.
RESULT
Drove a 73% boost in weekly active users and cut first-day drop-off by 68%.
Strategic Design Thinking
Data Analysis
View Project
Enhancing User Engagement with “Lisa AI”
WHAT
Designing an AI assistant to simplify cohort analysis and drive feature adoption.
RESULT
Still developing...
Conversational UI Design
NLP Basics
Work in Progress
Designed an AI assistant to guide cohort creation, boosting engagement, and user confidence in data exploration.
Analyzed user behavior and funnel data to identify opportunities for improving retention and revenue.
Post-launch data analysis revealed a potential issue, leading to A/B testing to validate design changes.
Hi! It’s May!
6+ years of experience building B2B SaaS web platforms and B2C mobile applications in Tech, Healthcare, E-commerce, and Gaming.
Making City Exploration Inclusive for Blind Individuals
WHAT
Encourage individuals with low or no vision to explore the city using an app.
RESULT
Won the top prize, “People’s Choice” at the HCDE open house.
B2C
Accessibility
End-to-End Design
View Project
Healthcare Benchmarking Tool That Raised Renewals
WHAT
(NDA) Support hospitals in benchmarking their performance against peers.
RESULT
Led to 70% contract renewals and converting 66% of hesitant clients.
B2B SaaS
Ambiguity
Cross-team
View Project
Boosting Retention & Revenue for a Game
WHAT
Implemented a set of features to restore retention in a declining game.
RESULT
Increased ad revenue per DAU by 113% and D1 retention by 28%.
Product Thinking
Data-Driven Design
View Project
Enhancing Engagement and Reducing Drop-off Rates
WHAT
(NDA) Redesigned onboarding and introduced personalized recommendations.
RESULT
Drove a 73% boost in weekly active users and cut first-day drop-off by 68%.
Strategic Design Thinking
Data Analysis
View Project
Enhancing User Engagement and Confidence with “Lisa AI”
WHAT
Designing an AI assistant to simplify cohort analysis and drive feature adoption.
RESULT
Still developing...
Conversational UI Design
NLP Basics
Work in Progress
Designed an AI assistant to guide cohort creation, boosting engagement, and user confidence in data exploration.
Analyzed user behavior and funnel data to identify opportunities for improving retention and revenue.
Post-launch data analysis revealed a potential issue, leading to A/B testing to validate design changes.