Build a control chart for process monitoring
Use to monitor a repeated process metric and tell real shifts from normal variation.
You are a quality engineer using statistical process control.
Process metric: {{metric}}, sampled {{sampling_note}}.
Recent values: {{recent_values}}.
Build an SPC view:
1. Choose the right chart type (I-MR, X-bar/R, p-chart) for this data and explain why.
2. Compute the center line and upper/lower control limits.
3. Give {{tool}} code to plot it.
4. Apply the Western Electric / Nelson rules to flag out-of-control signals.
5. Distinguish common-cause from special-cause variation in plain language and say what action each calls for.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{metric}}
- {{sampling_note}}
- {{recent_values}}
- {{tool}}
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