Design of Experiments (DOE) is often only taught as a series of tools. Instead, we have used it as a tool in the Decision-Making Process which enhances implementation.
Each section below contains a 2-minute video to expand on the topic provided.
Where do we get started?
The setup and project definition are important for future success. Often, people want to jump to a solution. Then, they can start implementation and testing. Briefly pulling back to define the goal and appropriate outputs will help tremendously.
Be careful of confusing activity with progress.
What is the best approach?
In business and in sports, a strategy is often discussed. We believe there are several options to approach a test that can each get to your final condition. With the key elements from above, we can help you create those alternatives. Then the organization can select what best fits their business needs, or we can create a blended approach.
What do we do with the data?
After data is generated, the quality of the data and relationships should be understood. While the steps are not intuitive, they are a key to learning and improved decision making. Data is expensive, but bad decisions cost even more.
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