What are the control quality methodologies?
When you get into management and start putting together your management dashboard, you want to look at the "control quality", how well you can predict the outcome. This will help you make critical management decision such as when to hire, when to under test, and the exact implications.
Originally Posted by widad
As you strive towards six-sigma. You have to find the statistics and models that work best for predicting your company's outcomes. The 'control quality' is how you measure how consistent your predictions model reality.
Thanks for your answer
Can be XP and Scrum control quality methodologies ?
Data/Analytics are not useful for daily operational decisions, so it doesn't really matter what your process is, as long as you have one.
This is for more long term strategic planing and how well you can trust your estimates. If your project estimates are right 95% of the time, your control quality is at 2-sigma. This has important implications at the management level. For example, say middle level management has a interesting new project, and their marketing department estimates it's a $30 million dollar market opportunity. But if you want to hire more developers and the company needs to issue more debt to raise the cash, to start a new project, there's a huge importance between a project 5% variation on completion time and costs a 2 year project, and a 1% variation. This could mean the difference between a company missing payroll and hurting its credit rating.
That said.. Agile Squared (scrum of scrums, scrum of xp, xp of xp), using Agile at management level, methodology to top level management generally has about a 2 sigma when done right. Generally because the detailed level breakdown tends to happen much later in the cycle. This is best illustrated by this article comparing software development in Agile to painting a room, https://blogs.dropbox.com/tech/2015/...eed-more-time/