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Design, Optimize, and Verify, is a methodology commonly used for Design for Six Sigma (DFSS). DFSS is a variation on the traditional Six Sigma tools with a focus on the development of a new process, product, or service rather than an improvement upon a previous version.

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The logic behind DFSS is that costs will be significantly lowered if Six Sigma is built into the initial design methods of a particular product or process. This means that DFSS results in a much longer planning period before products and services are actually offered. IDOV assists those in this process by offering a methodology that can reduce development time as much as possible.

The Voice of the Customer is used during the Identify phase. It's important for team members to think in terms of the customer's needs and act accordingly. Targets are set, and CTOs are developed for the design of the eventual product or service. The actual project launch is planned during this initial phase of IDOV. Tools needed for completion are the project charter, risk management and multi-generation plans, market research, benchmarking, and Voice of the Customer tools (such as surveys, interviews, and record of complaints).

The p of 0.05 is the value at which most draw the line in accepting or rejecting the null in hypothesis testing. However, it's important to remember that a p of 0.05 means that there is still the possibility of making a false assertion five percent of the time. This misconception can cost the reliability of hypothesis testing in some Six Sigma Projects.

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By definition, hypothesis testing is being able to determine whether one group of data is different from another. The null hypothesis is key to this process as it always states that the variables under study in the hypothesis testing makes no difference. This puts the burden on those testing the data to find another way to prove that the variables do make a difference. If users reject the null, the variables do indeed make a difference in the outcome measures, which is generally the goal of the Six Sigma project.

When rejecting the null hypothesis, there's more that should be considered than the p-value. While this value is generally a reliable number, five percent is certainly not zero percent.