A primary goal of designing any interface is to establish consistent, usable patterns that provide familiar, rapid paths to and from information. Nowhere is this more true than in the world of data products, where the express intent of our work is to deliver the best information, at the right moment, with the greatest possible speed. But data isn’t perfect. Sometimes it isn’t even there. Especially in an early stage startup. How do we get to market while our dataset is still under construction? This talk will share strategies for accommodating variability in data when designing interfaces for data-driven products, highlighting their application in the design process at Ravel Law. We'll take a look at the nuances of legal data, discuss the notion of Primary Task and share lessons learned from the the design of a brand new analytics product.