First to start with, we have to know what Quality assurance is. Quality assurance is “the planned and systematic activities implemented in a quality system so that quality requirements for a product or service will be fulfilled.” Now, it’s time to learn what is Quality control in project management. You can think of quality control as the management and regulation of the products and services the project delivers to make sure they are at the required quality level. This process is extremely important in order to maintain not only the quality of products and services, but also consistency.
Quality control is inspection-driven and requires the project manager and the project team to inspect the
work that’s been done to determine if the work results are in alignment with the stated and
implied objectives of the project scope. And if they’re not? They fix the problem!
Quality control is all about keeping mistakes out of the customers’ hands. You and the project team must
work diligently to ensure that all of the work is accurate, on-scope, and meets the objectives
that customer has defined. And do it quickly. But QC takes time. It takes time to inspect the
work. It takes time to redo the work. It takes time to check the work that’s been redone.
And time is rarely on the project manager’s side.
There are plenty of tools a project manager can use to assist with quality control.
Here are three for now:
Ishikawa Diagrams: These are also known as cause-and-effect diagrams and fishbones,
Ishikawa sounds brainier. The point of these diagrams, regardless of the nomenclature,
is to facilitate a conversation on why causes and contributing to a problem.
Pareto Chart: Ever hear that 80 percent of your income comes from 20 percent of your customers?
Or that 80 percent of your help desk problems come from 20 percent of your employees? That’s the
80/20 Principle and the Pareto chart shows the categories of failure within a system. Then we channel
80 percent of our effort to tackle the largest identified problems.
Control Charts: A control chart really shows normal distribution and allows you to track trends and
adjust the mean when we reach goals and need to set new quality goals. The point of a control chart
is that you can track trends over time.