05. Design of a RACI Matrix model for interdisciplinary projects

Clearly defined roles within an organization can improve efficiency, providing clear understanding and communications while minimizing duplicate efforts and lack of accountability. Assigning 'R' (responsible), 'A' (accountable), 'C' (consulted) and 'I' (informed) parties can provide clarity, facilitate meaningful discussion and leverage previously unknown synergies. We discuss the process for developing a RACI matrix to provide a blueprint for organizational efficiency using a focus group within a Medical and Clinical Affairs environment. For statisticians and statistical programmers, cross functional communication is key when relaying complex data and analyses to nonstatisticians. Although our tasks ranged from topics such as case report form design, data monitoring, clinical study reports, and scientific communications; the RACI can be applied to any discipline. We will discuss the scope, goals, methodology, implementation, pitfalls to avoid, and our design choices that make the RACI matrix creation efficient and purposeful for all stakeholders, regardless of functional group.

communication

collaborative

cross-functional

interdisciplinary

raci