Best Practices for Decision-Focused Economic Models

Economic models are often treated as forecasting tools built around single-point estimates. Yet the decisions they are meant to inform rarely hinge on a single outcome. They hinge on choices, tradeoffs, uncertainty, and risk. When models are not designed around decisions, teams can struggle to compare options, test strategies, or explain why one path is preferable to another.

In this webinar, Decision Frameworks will share practical guidance drawn from decades of experience helping organizations model complex, high-stakes decisions. We will discuss why decision-based models are fundamentally different from traditional deterministic approaches and why they are better suited for evaluating alternatives under uncertainty. Rather than focusing on model mechanics end to end, this session highlights the principles and tenets we consistently rely on when guiding teams toward decision-centric economic models.

Attendees will walk away with practical insights they can use to strengthen their own modeling efforts or to build a compelling case for adopting decision-based, probabilistic models within their organization. Whether you support decisions directly or advise those who do, this webinar provides a useful lens for thinking more clearly about how models should serve decision-making.

During this webinar, you will learn:

• Why models should be designed to answer decision questions, not just generate estimates

• How decision-based models help teams compare options and strategies under uncertainty

• Common pitfalls of single-point modeling and why they limit insight and alignment

• Key principles we apply when structuring models to support robust, defensible decisions

After registering, you will receive a confirmation email containing your webinar credentials.

Registration Link: https://attendee.gotowebinar.com/rt/7733418787536002652