Identify one data-driven tool commonly used in Six Sigma for improvement projects.

Design of Experiments (DOE) is a powerful data-driven tool utilized in Six Sigma improvement projects. It allows practitioners to identify the relationships between various factors affecting a process and the output of that process. DOE enables teams to systematically explore the impact of multiple independent variables on a dependent variable, thus facilitating the identification of optimal conditions for process performance. This statistical approach is essential for understanding variability, enhancing quality, and making informed decisions based on empirical data.

In contrast, while flowcharts provide a visual representation of processes, fishbone diagrams assist in identifying root causes, and surveys gather subjective feedback from stakeholders, they do not delve into the structured experimentation and analysis that DOE offers. Consequently, DOE stands out as the most robust tool amongst these options in the context of data-driven analysis for process improvement.