Process Improvement-Value Stream Alignment Matrix

The Process Improvement-Value Stream Alignment Matrix is a 2x2 matrix used to identify and prioritize process improvement opportunities. It can be used to identify areas of improvement and to align process improvement efforts with the overall value stream.

At a very high level, the Process Improvement-Value Stream Alignment Matrix is used in the context of business, process improvement.

Process Improvement-Value Stream Alignment Matrix quadrant descriptions, including examples
Want to try this template?
Other Templates

What is the Process Improvement-Value Stream Alignment Matrix?

A visual explanation is shown in the image above. The Process Improvement-Value Stream Alignment Matrix can be described as a matrix with the following quadrants:

  1. High Impact, Low Investment: Process improvements that have a high impact on the value stream but require a low investment of resources, e.g. automating a manual process.
  2. High Impact, High Investment: Process improvements that have a high impact on the value stream but require a high investment of resources, e.g. implementing a new technology.
  3. Low Impact, Low Investment: Process improvements that have a low impact on the value stream but require a low investment of resources, e.g. streamlining an existing process.
  4. Low Impact, High Investment: Process improvements that have a low impact on the value stream but require a high investment of resources, e.g. introducing a new process.

What is the purpose of the Process Improvement-Value Stream Alignment Matrix?

The Process Improvement-Value Stream Alignment Matrix is a 2x2 matrix used to identify and prioritize process improvement opportunities. It is designed to help organizations identify areas of improvement and to align process improvement efforts with the overall value stream.

The matrix is divided into four quadrants, each representing a different type of process improvement opportunity. The top-left quadrant is for process improvements that have a high impact on the value stream but require a low investment of resources. The top-right quadrant is for process improvements that have a high impact on the value stream but require a high investment of resources. The bottom-left quadrant is for process improvements that have a low impact on the value stream but require a low investment of resources. The bottom-right quadrant is for process improvements that have a low impact on the value stream but require a high investment of resources.

The Process Improvement-Value Stream Alignment Matrix can be used to identify areas of improvement and to align process improvement efforts with the overall value stream. It can also be used to prioritize process improvement efforts, as the quadrants can be used to identify which process improvements will have the greatest impact on the value stream.


Want to try this template?

What templates are related to Process Improvement-Value Stream Alignment Matrix?

The following templates can also be categorized as business, process improvement and are therefore related to Process Improvement-Value Stream Alignment Matrix: Effort Impact Matrix, Gap Analysis Matrix, Growth Share Matrix, Kraljic Matrix, Outsourcing Matrix, Quadrant Analysis, Risk Analysis Matrix, Risk Value Matrix. You can browse them using the menu above.

How can I use Process Improvement-Value Stream Alignment Matrix in Priority Matrix?

You can get Process Improvement-Value Stream Alignment Matrix in your Priority Matrix in just a moment:

  1. Click to sign in or create an account in the system
  2. Start adding your items to the matrix
  3. If you prefer it, download Priority Matrix and take your data with you

Learn more about Process Improvement-Value Stream Alignment Matrix, and get free access to lots of other templates, at templates.app. Once you are comfortable with the document, you can easily export to Excel, if you prefer to work that way.

If you have any questions and you can't find the answer in our knowledge base, don't hesitate to contact us for help.