What type of data is primarily analyzed using Check Sheets?

Check Sheets are primarily used for the collection and analysis of numerical data. This practical tool is designed to facilitate the gathering of quantitative information quickly and efficiently, particularly in the context of tracking the frequency of specific events or occurrences over time. By structuring the data collection in a predefined format, Check Sheets enable teams to identify patterns and trends, making it easier to analyze performance metrics or problem areas based on numerical values.

While qualitative data can also be recorded, the core functionality of Check Sheets is centered around numerical data, allowing for a straightforward count or measurement that supports quantitative analysis. This emphasis on numerical data helps organizations make data-driven decisions as they track trends and variances in processes or outputs. As for historical data or theoretical data, these concepts do not encompass the specific use and functionality of Check Sheets, which focus on the immediate and measurable aspects of performance through numeric counts.