Capital One

I was a principal designer and design manager for an internal data search engine called The Exchange. This new platform was built from the ground up to replace an old legacy tool. During my time there, my team interviewed close to 200 associates who work with data to help transform the way they work. I developed an educational curriculum to help designers new to the space onboard and learn the basics of working with data.

The Exchange

The Exchange is Capital One's internal data catalog and search engine. Data scientists, data analysts, and software engineers use it to easily find the data they need and quickly learn how to start using it. We reduced the time for users to find the data they were looking for by 60%.

Our users were data scientists, data analysts and software engineers, the feedback we heard from them is that data is hard to FIND and hard to TRUST. The organization relied on tribal knowledge, and our users they wanted to see that tribal knoweldge reflected on the platform. When users find a piece of data they want to experiment with, they can easily see if others have been using the data recently, when it was last updated, how to easily get access to it, and how to start to use it.

0 → 1

DESIGN LEAD

USER RESEARCH

HIRING

DESIGN EDUCATION

MANAGEMENT

Data collections on The Exchange

Datasets are not used in isolation. Capital One associates need to find lots of disparate pieces of data to do their job and bring value to end customers. Data collections are a way for owners of data to bundle datasets together to make it easier for consumers of data to find and use. With collections, we reduced the time between finding data and effectively starting to use it by 36%.

I led the team to co-create 20 different concepts that would improve how our users discovered data on The Exchange, we had them score each of the concepts and describe the pros and cons. Data collections came from a merger of the top 3 concepts as rated by our users.

DESIGN MANAGEMENT

USER RESEARCH

VISION & STRATEGY

MACHINE LEARNING

DESIGN EDUCATION