What type of data is often collected in Six Sigma projects?

In Six Sigma projects, both qualitative and quantitative data play important roles in understanding processes and driving improvement. Quantitative data, which is numerical and can be measured, allows teams to evaluate and track process performance, identify trends, and establish baselines. This type of data is often used for statistical analysis and can reveal insights about variances, capabilities, and potential areas for improvement.

Qualitative data, on the other hand, encompasses non-numerical information that can provide context and depth to the analysis. This might include feedback from customers, employee perspectives, or observations from process walkthroughs. Qualitative insights can help identify problems that are not evident through quantitative analysis alone and can lead to a richer understanding of the underlying issues.

By integrating both types of data, Six Sigma practitioners can form a comprehensive view of the processes under study, ensuring that decisions are grounded in a holistic understanding of both measurable performance and human factors. This balanced approach contributes to more effective problem-solving and continuous improvement efforts.