What information is typically shown on real-time QC dashboards to indicate control status?

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Real-time QC dashboards focus on the stability of the process by showing control chart status indicators that tell you whether the process is in-control or out-of-control. The core idea is to compare current measurements to predefined control limits on a control chart plotted over time. When data stay within the central line and the control limits and show no nonrandom patterns, the dashboard marks the process as in-control, meaning it’s behaving as expected. If a data point lands outside the limits or if there are patterns such as trends, runs, or shifts that trigger rule-based alerts (like Westgard rules), the dashboard flags it as out-of-control and prompts investigation or corrective action. Color cues on these indicators help you recognize status at a glance, but the essential information is the chart-derived in-control vs out-of-control signal. Other elements like operator name or weather data don’t convey control status, and color styling alone isn’t sufficient without the underlying chart data.