Several companies are creating new teams that focus on building tools and platforms that enable data analysts and data scientists to work more efficiently. In this post, Kris Kazlowski describes how the Asana Data Empowerment team developed a key data pipeline through rigorous user research and effective collaboration. Asana uses “ActionsByUserAndGroup” (ABUG), which groups related event logs together to facilitate analysis. When the Asana Data Empowerment team decided to rewrite the ABUG pipeline in Spark and Scala, they also collaborated with the Data Science team to make it easier to configure and update Actions. Kazlowski reviews how the Data Empowerment team collected and integrated feedback (including through synchronous discussion) from the Data Science team throughout the design, prototyping, and development phases.