Techniques used at High Maturity?

I came to know that these techniques (listed below) were used in SEIs' case studies for high maturity. Does it mean that ALL organisations are expected to use these when operating or appraised at ML 5?

This looks quite exhaustive, please advise.

• ANOVA Reliability Growth Modeling
• Chi-Square Response Surface Modeling
• Regression Time Series Analysis
• Logistic Regression Hypothesis Testing
• Dummy Variable Regression Logit
• Bayesian Belief Network Monte Carlo Simulation
• Designed Experiments Optimization
• Discrete Event Simulation
• Reliability Growth Modeling
• Response Surface Modeling
• Time Series Analysis
• Hypothesis Testing
• Logit
• Discrete Event Simulation

No, neither the CMMI nor the SEI expect that all organizations must use these techniques. This is a list of example techniques. However, it is expected that High Maturity organizations use these types of techniques. The organization has to determine which technique(s) work best for them to understand the special and common causes of variation, etc. The organization has to build Process Performance Baselines (PPBs) and Process Performance Models (PPMs). To build these things, the organization has to analyze their historical data. This analysis can be done in many different ways and the list of techniques include some of the typical data analysis methods.

So what would be very helpful for you is to either get some training on data analysis and statistical techniques or hire a statistician to help you with your High Maturity efforts. Then you will figure out which quantitative analysis technique(s) are appropriate for your data and your organization.

And, to quote Pat O'Toole: "High maturity is NOT just about statistical techniques. Rather, it is about performing your critical processes so consistently that the information to be gleaned from the use of these techniques contain more signal than noise. You can use the data streaming off the critical processes to detect abnormal performance, and to predict (in a statistical sense) future outcomes of interest."