Tamr

I currently lead the design team at Tamr, including work for its titular product.

Tamr was born from research at MIT's CSAIL, under Professor Stonebraker (Turing Award Winner). Tamr helps users unify their data using a combination of machine learning and expert (specialized crowd) sourcing.

My work at Tamr involves translating a powerful and complex technology into a non- or semi-technical experience that is unlike traditional software in the space. I work very collaboratively with product management and engineering to form a deep, research-based understanding of our users, and with a team of design generalists to run various UX research methods and design toward a intuitive web apps in an otherwise complicated domain typically reserved for data scientists and IT specialists.


Summary pages allow data analysts to find what they want at a glance.





User-research helps drive company vision.




Publish organizes its Information Architecture around Entity Types


Tamr Publish

I led the design for Tamr Publish, which allows data consumers to access their enterprises data organized by entity types. This work relied on our persona work at Tamr, which helped us focus strategically on data consumers (e.g., data scientists, analysts, citizens) in particular, and not just data suppliers (e.g., source owners, system admins) or preparers (e.g., data curators, data stewards, data engineers, CDOs, CIOs, etc.).


Gamified crowd-sourcing to improve company data



Single view showing Goldin Record information from multiple sources



Expert sourcing and unsolicited feedback are core design principles across Tamr's products



Tamr Catalog

Tamr Catalog Beta is an app to help organizations understand their data sources within a social context. I served as lead designer and product manager, driving the product from concept to market.

Tamr Catalog's treemap visualization, tooltips, and in-app support. Each tile in the treemap represents a data source. This visualization was selected in part because of its high degree of customizability and its efficient use of space (for large-scale data discovery).


The goal for Catalog was an easy-to-use and free data discovery app with thoughtful visualization and on-boarding. I worked with Ben Fry of Fathom to kick-off our design discovery phase, while working with our field and marketing teams to develop a set of target users and personas.


I am demoing Catalog, with partner Dan Meisner (head of Open Data at Thomson Reuters).


I was inspired by Ben Shneiderman's work on visualizing large file systems in designing Catalog, and interviewed over 50 curators, with assistance from a UX researcher and MBA intern.

In 4 months we delivered the Beta release to over a thousand downloads. I was interviewed to discuss Catalog and "dark data" by ODBMS.org. The technology and mission of Catalog have been absorbed into Tamr Unify.