Single and Double Loop Learning

in Improvement Science, Knowledge, PDSA

By David M. Williams, PhD Simulation is a powerful method for teaching new improvers how to learn and use the plan, do, study, act (PDSA) cycle to test changes. In addition to the Mr. Potato Head and the Coin Spin PDSA exercises, there are a host of other worthwhile options like the sequence exercise. You […]

Tracking Project Progress

in Measurement, Tools & Methods

By David M. Williams, Ph.D. Improvement projects follow a trajectory from forming a team and chartering through achieving sustainable results. Whether leading a single project or monitoring a portfolio, having a strategy for gauging project progress is useful in identifying projects that are stuck and in supporting movement forward.  One useful tool the Institute for […]

Is the I Chart the only Shewhart SPC chart I really need?

in Measurement

by David M. Williams, Ph.D. This is part of a series of blog posts on measurement for improvement. You can read them all here. Many authors and consultants join me in arguing for collecting data over time and displaying it in a time series chart like a run chart. Some also advocate for the added […]

What about qualitative data?

in Measurement

by David M. Williams, Ph.D. This is part of a series of blog posts on measurement for improvement. You can read them all here. A core component of improvement work is understanding and learning from data. This can be new to many, and for some a little intimidating. One common assumption is that all data […]

When can I change my centerline and limits?

in Measurement

by David M. Williams, Ph.D. This is part of a series of blog posts on measurement for improvement. You can read them all here. When you create a run chart or a Shewhart chart with baseline data, you can “freeze” the centerline and extend it into the future. Shewhart charts that have equal subgroup size […]

Signals and Special Cause: What are the rules?

in Measurement

by David M. Williams, Ph.D. This is part of a series of blog posts on measurement for improvement. You can read them all here. A core pillar of the science of improvement is understanding variation. We use data to learn about a system or process and to know whether our changes are resulting in improvement. […]

How many data points do I need?

in Measurement

by David M. Williams, Ph.D. This is part of a series of blog posts on measurement for improvement. You can read them all here. One of the most common questions for a new improver to ask is: How many data points do I need to start a chart? The answer is just 1. Starting with […]