It’s a popular improvement technique because it follows the natural progression of how people attack a problem.
Let’s get into a bit more detail.
You or your organization’s leadership has identified an opportunity for improvement. In this phase you learn all you can about the issue at hand by analyzing both the available data and possible options. Establish a plan for achieving the goal. Here you consider the changes but don’t actually implement them.
In this phase you carry out a small-scale version of the improvement you want to see. Call it a pilot program. The idea is to test out your hypothesis in a way that limits risk but also allows you to see significant results. Enact the changes detailed in the Plan.
Here we close the loop and verify if the improvement action we did had it’s intended effect.
Measure and analyze the results.
If our pilot was successful, we roll the changes out for full implementation. If not, we take a look at the data we did receive and challenge our previous assumptions in order to come up with a new, different plan.
Implement the necessary reforms when the results are not as expected.
In either case the cycle repeats with the next experiment.
When to Use PDCA:
- For continuous improvement.
- When starting a new project or creating a new product or service.
- When defining a process.
- To verify the prioritization of data collection or root causes.
- When implementing a change.