Rally Process


A key part of the discovery phase of Ki involves data science rallies, which are based on efficient, sprint-like efforts adapted from the Agile software development method. This approach to data science is producing actionable answers to specific questions about child growth and development. Ki models are used during rally sprints, which usually run for 2 weeks and address a specific question, hypothesis, and deliverable. The key to the success of a rally is the teaming of data scientists with domain experts who are in continual communication throughout the course of the rally.

The overarching process involves using new modeling and data visualization methods to understand and analyze data from the knowledge base, and provide insights about child health assessment and interventions. Rally members begin each sprint with a planning session to determine sprint objectives. Throughout the rally, team members review the analysis and modeling methods and results, and report on progress and impediments.

As the rally is completed, team members report the outcomes and review the experience to help improve future rallies or other projects. Rally reports are submitted, and next steps are recommended.


Rallies are a cyclical process and start with a question


See Active and Past Rallies