Lucy Carpenter

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Lucy Carpenter

Lucy CarpenterLucy CarpenterLucy Carpenter
AMAZON WEB SERVICES

AWS MOBILE HUB

Role - Led UX strategy and execution from 0→V1 in under 8 months through close collaboration with product management, engineering, research, and multiple business verticals.

project goalS

Business goals

Accelerate mobile app development on AWS by providing developers with a unified, easy-to-use console that streamlines the integration of backend services like authentication, data storage, and push notifications. By reducing setup complexity and time-to-market, Mobile Hub aimed to increase AWS adoption among mobile developers, expand the AWS ecosystem, and drive revenue growth through higher platform engagement.

Design goal

Design the first unified console that seamlessly integrated multiple backend services from different consoles into a single, guided end-to-end workflow. The challenge was to simplify significant technical complexity into an intuitive, streamlined experience tailored specifically to the needs of a mobile app developer user.

AWS mobile hub

AWS Mobile Hub is a one-stop shop for mobile app developers and marketers. I designed this experience to feel more like a mobile app and less like a service - with larger touch targets, a modernized visual design, and everything in a central location. 

One of the main end users for this app was marketing campaign managers creating advanced segmentation to run their in-app campaigns.

Performance metrics are very important to mobile app developers and marketers. One feature we offered within the Hub was to performance test your app across hundreds of devices all in a single click of a button.

AWS PINPOINT

Amazon Pinpoint offers marketers and developers one customizable tool to deliver customer communications across channels, segments, and campaigns at scale.


I designed the first launch of the product, including the home screen, the getting started flows, and the main management console pages.

AWS Sagemaker

AWS Sagemaker enables users to build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows.


I led the initial design work for this console and worked on it through the first beta release.


Things have evolved since I worked on this 6 years ago, but the UX bones remain.

AWS COMPREHEND

AWS Comprehend uses natural language processing (NLP) to extract insights about the content of documents.


I worked on the beta version of this product when this type of technology was still nascent. At the time our competitive advantage was in being able to tell sentiment from a block of text.


This is an early mockup showing how we could visually show sentiment and categorization.


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