How is uncertainty used in traditional Price to Win approaches?

Price to Win analysis must include uncertainty in order to be accurate – the practitioner is estimating a future price to deliver their solution, compared against an unknown group of competitors, and judged by a group of customers with their own internal biases.

However, some current approaches do not include mathematical uncertainty in their calculation, instead defaulting to deterministic inputs and results. Others include uncertainty, but are cumbersome to use, require advanced experience with statistics, or effectively limit the size of the analysis due to computational requirements.