ABSTRACT
This chapter describes the outcomes of those efforts and outlines a five-phase approach for organizing a collaborative data-intensive improvement (CDI) project. First phase involves setting up a partnership, from identifying key members to jointly defining the aim of the partnership. Second phase entails developing an overarching theory for how the partnership will reach its aim. Third phase is where the data-intensive research work-flow introduced earlier fits within a CDI project—the aims and theory from Phases first and second shape data wrangling, exploration, and modeling. Fourth phase is where insights from data-intensive analyses get translated into change ideas through iterative, collaborative design. Fifth phase is where members of a partnership test out change ideas in real learning environments and improve upon the change ideas over time. It describes how the workflow fits within a CDI project. The partnership's improvement theory is one tool for beginning to identify high-leverage change ideas.
