2018–2022

Building a 01 search and
recommendations engine

Building a 01 search and
recommendations engine

Building a 01 search and
recommendations engine

at capital one

at capital one

Working with data

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

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%.

Data collections

Data collections

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.

Create a free website with Framer, the website builder loved by startups, designers and agencies.