Certainly there are many types of teams, but in recent times it’s been similar to the alphabet soup of quality tools and techniques. Top executive teams, project teams, six sigma teams, cross-functional teams, improvement teams, self-directed teams, and ad hoc teams are some of the more recognizable forms.
Many quality professionals, including statisticians, have remained mired in their rapidly diminishing consultative roles of teaching statistical tools, analyzing data, designing experiments and performing internal consulting duties while having few leadership responsibilities and limited accountability.
I have spent numerous years working in and with all aspects of quality. During my earliest time in industry solving problems was more of a singular focus, but over the years the focus has become more of a team effort.
It’s safe to say that all quality practitioners are familiar with the control charting terms “common cause” and “special cause” variation. However, how many have really thought about their interpretations and associated action plans which could also add to variation?