Ursa Health launched the Ursa Studio Knowledge Base this past May to provide users with a 24/7, self-service option for learning about the features and content in our analytics development platform. Gathering all the knowledge users need to get the most out of Ursa Studio into a single repository helps create an efficient learning experience and complements our live trainings and video training catalog. Our aim is to make proficiency easily attainable by users with varying needs.
The information contained in the knowledge base falls into three interrelated categories:
We believe that Ursa Studio proficiency = platform knowledge + content knowledge + knowledge of theory, conventions, and best practices.
The knowledge base is modeled after those that support common programming languages. Many of our users with backgrounds in development have grown accustomed to finding answers to their questions about specific programming languages, development best practices, and fresh ideas for tackling novel data problems by searching for that information online. Our knowledge base will continue to offer an increasingly robust response to that need for Ursa Studio users.
The knowledge base is organized into five sections:
In the near future, our goals for the knowledge base include publishing information on the Ursa Core Data Model, releasing a steady stream of how-to guides, and enhancing the product manual to provide greater clarity around certain features. Our longer-term goals include publishing all documentation related to measure theory, naming conventions, and best practices.