Technical QSRA Insights:
Small Choices, Big Impacts
Quantitative Schedule Risk Analysis (QSRA) is often seen as a structured and objective process involving a number of key steps. However, the quality of the outputs is only as strong as the assumptions and technical choices that sit beneath the model and inform the inputs. In this webinar, we take a closer look at the subtle decisions that may well be overlooked yet can have a disproportionate impact on results.
We’ll explore how seemingly minor modelling choices such as the selection of distribution types, treatment of uncertainty versus discrete risk events, and the handling (or neglect) of correlation can materially alter forecast outcomes. The session will also examine common sources of bias in inputs, including optimism bias, anchoring, and inconsistencies in how ranges are defined.
By examining modelled situations, we’ll demonstrate how these seemingly small issues can manifest themselves in practice, how they can distort confidence levels and other key Safran outputs, and therefore how they can undermine the entire process. Attendees will gain practical guidance on improving model integrity, increasing transparency, and building greater confidence in QSRA outputs.
Whether you are building models or interpreting results, this webinar will help you sharpen your technical approach, enable you to ask the right questions, and ensure that small decisions don’t lead to big unintended consequences.
Webinar details:
Date: May 27, 2026
Time: 8 AM San Francisco / 9 AM Denver / 10 AM Houston / 11 AM New York / 12 PM Sao Paulo / 4 PM London / 5 PM CEST / 7 PM Dubai
Location: Online (FREE)
Language: English
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