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TALK ABSTRACT:
This talk will explore the dual nature of scenario analysis as both a useful strategic tool and one with significant limitations. While scenario analysis is widely praised for expanding strategic thinking by exploring diverse future environments, it is fundamentally weak when used to develop strategy. Its main shortcoming is the absence of probabilistic guidance—traditional scenario planning treats a small number of imagined futures and fails to quantify the likelihood of each. This can lead organizations to design strategies influenced by highly improbable worst-case combinations.
Probabilistic methods such as Monte Carlo simulation offer far richer insights for strategic choice by generating thousands of outcome variations and providing probability distributions. However, once a lead strategy is chosen, scenario analysis becomes highly valuable. It enables organizations to stress-test strategy resilience across different plausible worlds, identify vulnerabilities, and design hybrid options and risk-mitigation plans. Ultimately, scenario analysis should not be the basis for selecting strategy but it can be a powerful tool when used properly to evaluate strategic robustness and inform contingency planning in uncertain environments.
SPEAKER BIO:
PAUL WICKER is an experienced strategy and Decision Analysis (DA) consultant with extensive experience in facilitation, probabilistic modeling, and teaching. He is highly skilled in Financial Project Analysis and Strategy Development with over 40 years of experience in the oil & gas/chemicals industry. Mr. Wicker has worked for Texaco as a process engineer and for Chevron as a full-time Decision Analyst. Additionally, he was a DA Consultant for 16 years working with major clients in the industry including: Chevron, ExxonMobil, Staatsolie, Shell, Hess, Husky, Anadarko, and many others. He has experience in downstream chemicals, lubricants, fuel additives as well as upstream project financial analysis including value of information and value of control. He has taught a wide range of courses from Probabilistic Modeling to Basic Decision Analysis and is a Fellow with the Society of Decision Professionals.
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