Enter your data series to identify common cause vs special cause variation. Know what's normal fluctuation and what deserves your attention.
Enter one value per line (or comma-separated). Use any metric: sales numbers, hours slept, ticket volume, etc.
Try sample data:
If all points fall between the Upper and Lower Control Limits (UCL/LCL), your system is stable. The variation is "common cause"—normal fluctuation. Don't overreact to individual data points.
Any point beyond the control limits is a "special cause" signal. Something specific happened. Investigate that point: What was different? Address the specific cause.
8 consecutive points above or below the mean suggests a shift in the system. The average has changed. Look for what changed around that time.
6 consecutive points steadily increasing or decreasing indicates a trend. Something is progressively changing. Investigate before it becomes a bigger issue.