❀Marissa Cui✜

Design

Product Strategy

Storytelling

Last

Last

Last

@

@

Stripe, MIT

WORK
PERSONAL
001

Stripe Climate

I created a new way for Stripe merchants to understand and interact with their climate contributions. Using quantitative and qualitative analysis, I led a strategic decision to relaunch the climate dashboard experience. Additionally, I worked on the foundations of Climate API.

Product Design
User Research
/ JUNE 2023
001

Stripe Climate

I created a new way for Stripe merchants to understand and interact with their climate contributions. Using quantitative and qualitative analysis, I led a strategic decision to relaunch the climate dashboard experience. Additionally, I worked on the foundations of Climate API.

Product Design
User Research
/ JUNE 2023
002

Frontier

Frontier is an advance market commitment to buy an $1B+ of permanent carbon removal, founded by Stripe, Alphabet, Shopify, Meta, McKinsey and others. I worked directly with the Head of Climate to plan and execute on a design strategy for a first-of-its-kind carbon removal fund.

Web Design
/ MARCH 2023
002

Frontier

Frontier is an advance market commitment to buy an $1B+ of permanent carbon removal, founded by Stripe, Alphabet, Shopify, Meta, McKinsey and others. I worked directly with the Head of Climate to plan and execute on a design strategy for a first-of-its-kind carbon removal fund.

Web Design
/ MARCH 2023
003

Stripe Onboarding Research

I planned, executed, and reported on a strategic study of the Startup segment’s onboarding and integration experience onto Stripe; research was presented to Business Leads and informed the Onboarding team’s roadmap for the next year. I was offered a Senior Researcher role at end of the 6-month rotation, a role typically requiring 5+ years of research experience.

User Research
Product Strategy
/ APRIL 2022
003

Stripe Onboarding Research

I planned, executed, and reported on a strategic study of the Startup segment’s onboarding and integration experience onto Stripe; research was presented to Business Leads and informed the Onboarding team’s roadmap for the next year. I was offered a Senior Researcher role at end of the 6-month rotation, a role typically requiring 5+ years of research experience.

User Research
Product Strategy
/ APRIL 2022
004

Stripe Capital

I was the only designer on Stripe Capital, Stripe’s loan product, and helped grow the program from the beta launch to servicing $50M in loans per year. I led the launch of net new products, improved user experience, and built product roadmap, resulting in 8% increased conversion and 5x growth in loans serviced.

Product Design
User Research
/ JUNE 2023
004

Stripe Capital

I was the only designer on Stripe Capital, Stripe’s loan product, and helped grow the program from the beta launch to servicing $50M in loans per year. I led the launch of net new products, improved user experience, and built product roadmap, resulting in 8% increased conversion and 5x growth in loans serviced.

Product Design
User Research
/ JUNE 2023
005

Amazon Delivery Communications

I led design strategy for the Amazon App's new messaging feature, resulting in a 5% reduction in delivery defects and $7.5M in annualized savings. Orchestrated cross-functional collaboration between three distinct organizations (Amazon App, Driver App, and Messaging platform) to ensure seamless integration and user experience.

Product Design
User Research
/ 2019
005

Amazon Delivery Communications

I led design strategy for the Amazon App's new messaging feature, resulting in a 5% reduction in delivery defects and $7.5M in annualized savings. Orchestrated cross-functional collaboration between three distinct organizations (Amazon App, Driver App, and Messaging platform) to ensure seamless integration and user experience.

Product Design
User Research
/ 2019
006

Pokemon Classification Model

I constructed the dataset, preprocessed images, and setup the data pipeline as part of a group project to fine-tune a deep learning model that identifies Pokémon types based on its image. The model was trained on a ViT backbone and leveraged both color and grayscale image datasets, achieving over 95% accuracy.

Backend
Frontend
/ MARCH 2025
006

Pokemon Classification Model

I constructed the dataset, preprocessed images, and setup the data pipeline as part of a group project to fine-tune a deep learning model that identifies Pokémon types based on its image. The model was trained on a ViT backbone and leveraged both color and grayscale image datasets, achieving over 95% accuracy.

Backend
Frontend
/ MARCH 2025
// Made with love in 2025

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