🎯 Workshop Overview:
 
Equip executives with an understanding of how decision science can be used to build a decision-driven organization, align strategy with execution, and leverage analytics to drive competitive advantage.
 
Session 1: Framing the Opportunity (45 min)
Objective: Understand how decision science transforms strategic planning into competitive action.
Key Topics:
What is decision science? (Ch. 3)
The Dynamic Enterprise Alignment (DEA) Model
Strategic fit: resource-based planning and decision science synergy
Activity: Executive self-assessment on strategic alignment & decision-making maturity
 
Session 2: Decisions are Models (and Vice Versa) (45 min)
Objective: Learn how to think in models and why models drive better decisions.
Key Topics (Ch. 4):
Universal model constructors: Inputs, Logic, Outputs
Mental vs symbolic models
Probabilistic vs deterministic decision-making
Activity: Group exercise – Build a simple model of a recent strategic decision
 
Break (15 min)
 
Session 3: Picking the Right Modeling Approach (60 min)
Objective: Understand when and how to apply different modeling strategies.
Key Topics (Ch. 6):
Modeling by decision value & frequency
Economics of spreadsheets vs code
Iterative model development & triangulation
Activity: Model diagnostics – Evaluate which approach fits your top decisions
 
Session 4: The Decision Science Roadmap (60 min)
Objective: Create a practical pathway to embed decision science in your organization.
Key Topics (Ch. 7):
Framing > Data > Model > Analysis > Action
Quick wins and roadmap buy-in
Scaling decision quality across the enterprise
Activity: Roadmap design workshop – Build your firm’s decision science transformation map
 
Wrap-Up & Executive Commitment (15 min)
Recap of key insights
Commitment statements: What one action will you take in the next 30 days?
Optional takeaway: Pre-configured DEA self-assessment + stakeholder alignment checklist
 
Onsite and remote options are available. Onsite options do not include travel expenses.