Over 70% of the UW Women’s rowing team struggles with overtraining every year. We built an application that helps these athletes better understand their training data, and with those insights, make better decisions to reduce overtraining. Apart from analyzing large amounts of training data, we worked closely with student-athletes and team doctors to understand the symptoms of overtraining and define rowing metrics to create a training dashboard. Our Rowing Visualizer aims to help rowers and coaches better understand the effects each training has on team performance to avoid the negative outcomes from overtraining.

The Washington Department of Licensing (DOL) is a core agency of our state government, providing a variety of personal and professional licenses and other legal documents. It manages huge amounts of data about Washington’s people and economy, and its data analysis is crucial to our legislature. However, its data governance lags behind its goals. We conducted dozens of interviews with DOL employees on how and what data they work with to craft a taxonomy and recommendations for how DOL should organize/conceptualize its data, improving efficiency and making the agency more responsive and modern, resulting in better services for all Washingtonians!

Our team worked with Adios COVID and their Partners to create a reliable and convenient resource for the Hispanic community within Washington to ultimately put more vaccination shots in arms. Our goals were to support this ongoing project by improving the features and designs that were urgently needed to be pushed on to the web page. Specifically, we focused on simplifying the user interface and providing tools through different forms of research to improve the design of every feature of the application.

Based on users’ large-scale app installation data, we established an automated process for T-mobile to segment their users and create persona labels with machine learning. This process will improve mobile advertising services. We conducted social network analysis to cluster users, did topic modeling (LDA) for apps, extracted distinctive keywords in each community with linear sum assignment to build user personas The persona is able to show multi-dimension characteristics of mobile audiences such as popular apps, genres, topics within each community.

The Microsoft Azure End to End platform team is invested in identifying an efficient way to steer revenue growth prospects and to further improve user experience as well as increase the customer retention rate. Our project involved the data validation, data quality check, metric definitions and automated pipeline building. Our analysis serves as a foundation towards data-driven decision making for customer retention. The result can be utilized to monitor the user behavior and performance in real time to provide the better service and garner customer loyalty.

Despite 'Open-Plan' workspace having its stimulating collaboration and teamwork, it has many issues that trouble employees daily. Through the team’s research and analysis, we found out that noisy environments, lack of privacy, personalization, and health concerns are some of the major issues in an 'Open-Plan' workspace, and that workers of different job functions have different levels of dissatisfaction for 'Open-Plan' workspaces. Our design idea is a private/quiet space lookup system with real-time updates on the office spaces’ condition so that the workers can navigate within the office accurately based on their needs for privacy or quietness.

The Seattle Squeeze makes its transportation system strained. Although people are recommended to utilize Park and Ride facilities, they get frustrated when they do not know parking availability until they arrive. Our team EveREST addresses this information problem through providing real-time parking availability information. We gathered data from 686 users and designed a user-centered data pipeline. We collected real-time data through sensors, processed streaming data through cloud database, and visualized dynamic data through web application. Our solution not only helps users have equitable access to parking information, but also helps transit agencies make more effective decisions to solve Seattle traffic challenges.

Many companies communicate with their users in much more casual and conversational language than the formal English taught in schools. This casual writing style may help companies seem more approachable, but they may also seem to lack professionality and trustworthiness. In this study we are interested in how language formality affects people’s reactions in security-related interfaces. Through an online quantitative study we will explore these effects as well as how people perceive the formality of some major companies. Our findings could be used by companies to decide what tone they want to address users with to accomplish their security goals.

Climate Change is a clear and present danger to the world we live in today. A community-level collaboration movement is the need of the hour across the world that can bring about a significant change towards the behavior and attitude of people who are still skeptical about our impact on the planet. Our vision is to create sustainable and collaborative technologies for the environment that can help drive our mission for encouraging people to collect data(images) about our environment. To achieve this mission, we have developed an online platform to collaborate with citizen science communities around the world.

As Starbucks increases its drink lineup, with currently over 90 beverages, beverage recipe cards have become increasingly important learning and reference materials. We worked with Starbucks stakeholders and baristas to explore how beverage recipe cards are used across physical and digital platforms. We created information architecture and standardization recommendations, metadata, content models, and dictionaries to steer recipe card sharing and development. By standardizing the content and organization of recipe cards, we improve the barista learning experience and move towards making beverage recipe and preparation information interoperable data resources to empower other business activities, such as supply ordering and efficiency studies.