Quality improvement tools | Run charts

Introduction

On this page, discover the fundamentals of run charts and control charts, essential tools for analysing process performance over time.

What is a run chart?

A run chart (or time-series chart) is a graph that displays observed data over time. It is used to determine whether a process is performing well (or not) by tracking changes and observing patterns or trends. Run charts are one of the most important tools for assessing the effectiveness of change in improvement projects. Patterns in a run chart can start to determine whether a change is due to a common cause (natural or expected) or special cause (due to specific circumstances) of variation within a process.

A control chart, is a type of run chart. It includes an upper control limit (UCL) and a lower control limit (LCL) that provide more specificity when distinguishing between common causes and special causes of variation. Control charts help improvement teams pinpoint special-cause variation, identify early signs of success in an improvement project, and monitor a process to ensure it is sustaining the gains from a quality improvement effort.

When to use a run chart

  • When depicting how well (or poorly) an existing process is performing.
  • When determining whether changes to a process are actually improvements by displaying a pattern of data that can be observed as changes are made.
  • When helping teams working on improvements decide on the value of particular changes.

Use a control chart when you have more than 15 data points and want more insight into your data.

How to use a run chart

For a step-by-step guide, please refer to the downloadable PDF.

Rules of a run chart

There are four rules that can be applied to a run chart to help determine whether variation within the dataset is due to common-cause variation, or special-cause variation attributable to change in the process.

For further detail, please refer to the downloadable PDF.

Resources

Run charts in quality improvement

https://www.youtube.com/watch?v=ySbhsX-y8zE

References

http://www.ihi.org/resources/Pages/Tools/RunChart.aspx

This page was last updated October 2024

Introduction

On this page, discover the fundamentals of run charts and control charts, essential tools for analysing process performance over time.

What is a run chart?

A run chart (or time-series chart) is a graph that displays observed data over time. It is used to determine whether a process is performing well (or not) by tracking changes and observing patterns or trends. Run charts are one of the most important tools for assessing the effectiveness of change in improvement projects. Patterns in a run chart can start to determine whether a change is due to a common cause (natural or expected) or special cause (due to specific circumstances) of variation within a process.

A control chart, is a type of run chart. It includes an upper control limit (UCL) and a lower control limit (LCL) that provide more specificity when distinguishing between common causes and special causes of variation. Control charts help improvement teams pinpoint special-cause variation, identify early signs of success in an improvement project, and monitor a process to ensure it is sustaining the gains from a quality improvement effort.

When to use a run chart

  • When depicting how well (or poorly) an existing process is performing.
  • When determining whether changes to a process are actually improvements by displaying a pattern of data that can be observed as changes are made.
  • When helping teams working on improvements decide on the value of particular changes.

Use a control chart when you have more than 15 data points and want more insight into your data.

How to use a run chart

For a step-by-step guide, please refer to the downloadable PDF.

Rules of a run chart

There are four rules that can be applied to a run chart to help determine whether variation within the dataset is due to common-cause variation, or special-cause variation attributable to change in the process.

For further detail, please refer to the downloadable PDF.

Resources

Run charts in quality improvement

https://www.youtube.com/watch?v=ySbhsX-y8zE

References

http://www.ihi.org/resources/Pages/Tools/RunChart.aspx

This page was last updated October 2024

Introduction

On this page, discover the fundamentals of run charts and control charts, essential tools for analysing process performance over time.

What is a run chart?

A run chart (or time-series chart) is a graph that displays observed data over time. It is used to determine whether a process is performing well (or not) by tracking changes and observing patterns or trends. Run charts are one of the most important tools for assessing the effectiveness of change in improvement projects. Patterns in a run chart can start to determine whether a change is due to a common cause (natural or expected) or special cause (due to specific circumstances) of variation within a process.

A control chart, is a type of run chart. It includes an upper control limit (UCL) and a lower control limit (LCL) that provide more specificity when distinguishing between common causes and special causes of variation. Control charts help improvement teams pinpoint special-cause variation, identify early signs of success in an improvement project, and monitor a process to ensure it is sustaining the gains from a quality improvement effort.

When to use a run chart

  • When depicting how well (or poorly) an existing process is performing.
  • When determining whether changes to a process are actually improvements by displaying a pattern of data that can be observed as changes are made.
  • When helping teams working on improvements decide on the value of particular changes.

Use a control chart when you have more than 15 data points and want more insight into your data.

How to use a run chart

For a step-by-step guide, please refer to the downloadable PDF.

Rules of a run chart

There are four rules that can be applied to a run chart to help determine whether variation within the dataset is due to common-cause variation, or special-cause variation attributable to change in the process.

For further detail, please refer to the downloadable PDF.

Resources

Run charts in quality improvement

https://www.youtube.com/watch?v=ySbhsX-y8zE

References

http://www.ihi.org/resources/Pages/Tools/RunChart.aspx

This page was last updated October 2024

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Downloadable resources

Introduction

On this page, discover the fundamentals of run charts and control charts, essential tools for analysing process performance over time.

What is a run chart?

A run chart (or time-series chart) is a graph that displays observed data over time. It is used to determine whether a process is performing well (or not) by tracking changes and observing patterns or trends. Run charts are one of the most important tools for assessing the effectiveness of change in improvement projects. Patterns in a run chart can start to determine whether a change is due to a common cause (natural or expected) or special cause (due to specific circumstances) of variation within a process.

A control chart, is a type of run chart. It includes an upper control limit (UCL) and a lower control limit (LCL) that provide more specificity when distinguishing between common causes and special causes of variation. Control charts help improvement teams pinpoint special-cause variation, identify early signs of success in an improvement project, and monitor a process to ensure it is sustaining the gains from a quality improvement effort.

When to use a run chart

  • When depicting how well (or poorly) an existing process is performing.
  • When determining whether changes to a process are actually improvements by displaying a pattern of data that can be observed as changes are made.
  • When helping teams working on improvements decide on the value of particular changes.

Use a control chart when you have more than 15 data points and want more insight into your data.

How to use a run chart

For a step-by-step guide, please refer to the downloadable PDF.

Rules of a run chart

There are four rules that can be applied to a run chart to help determine whether variation within the dataset is due to common-cause variation, or special-cause variation attributable to change in the process.

For further detail, please refer to the downloadable PDF.

Resources

Run charts in quality improvement

https://www.youtube.com/watch?v=ySbhsX-y8zE

References

http://www.ihi.org/resources/Pages/Tools/RunChart.aspx

This page was last updated October 2024

Introduction

On this page, discover the fundamentals of run charts and control charts, essential tools for analysing process performance over time.

What is a run chart?

A run chart (or time-series chart) is a graph that displays observed data over time. It is used to determine whether a process is performing well (or not) by tracking changes and observing patterns or trends. Run charts are one of the most important tools for assessing the effectiveness of change in improvement projects. Patterns in a run chart can start to determine whether a change is due to a common cause (natural or expected) or special cause (due to specific circumstances) of variation within a process.

A control chart, is a type of run chart. It includes an upper control limit (UCL) and a lower control limit (LCL) that provide more specificity when distinguishing between common causes and special causes of variation. Control charts help improvement teams pinpoint special-cause variation, identify early signs of success in an improvement project, and monitor a process to ensure it is sustaining the gains from a quality improvement effort.

When to use a run chart

  • When depicting how well (or poorly) an existing process is performing.
  • When determining whether changes to a process are actually improvements by displaying a pattern of data that can be observed as changes are made.
  • When helping teams working on improvements decide on the value of particular changes.

Use a control chart when you have more than 15 data points and want more insight into your data.

How to use a run chart

For a step-by-step guide, please refer to the downloadable PDF.

Rules of a run chart

There are four rules that can be applied to a run chart to help determine whether variation within the dataset is due to common-cause variation, or special-cause variation attributable to change in the process.

For further detail, please refer to the downloadable PDF.

Resources

Run charts in quality improvement

https://www.youtube.com/watch?v=ySbhsX-y8zE

References

http://www.ihi.org/resources/Pages/Tools/RunChart.aspx

This page was last updated October 2024

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Whāraurau is funded by the  Government to provide training, however as we have limited funds it is important to let us know if you aren't able to attend. This also allows us to offer your place to someone else. Note: we do not cover the cost of travel or accommodation.

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