A very powerful concept for understanding uncertainty in Agile Projects is the “Stacey Complexity Model” which is shown below:
There are two dimensions of uncertainty in this model:
One dimension is requirements uncertainty – How well understood are the goals and requirements for the project and how certain are the customers that they know what they want?
The other dimension is technology uncertainty – How well understood is the technology solution to the problem and what is the level of risk associated with the technology solution?
This is a very important concept because the ability to handle uncertainty is so important in today’s most critical projects and heavily plan-driven projects are not well-designed to deal with high levels of uncertainty.
Please check the articles associated with this category for more detail:
One of the biggest inherent advantages of an Agile approach is the management of uncertainty in Agile projects. To understand this better, we need to first understand the difference between: An Empirical Process Control Model and A Defined Process Control Model Empirical and Defined Process Models A key thing to understand in this context is […]
Management of Uncertainty in Agile Projects Read More »