This page is updated regularly. Below are upcoming planned events.
Exact dates, times, and registration links will be published as they are confirmed.
March 2026 — Online Masterclass
Introduction to the Decision Capability Framework
This live session introduces the Decision Capability Framework as a system-level approach to designing the conditions under which decisions are valid, reliable, and repeatable under uncertainty.
Rather than teaching tools or techniques, the session presents the end-to-end mental model behind the framework:
- Why decision conditions must be designed first,
- How evidence and analytics support real decisions,
- How statistical discipline governs when to act,
- and How governance and learning ensure decisions hold and improve over time.
April 2026 — Online Masterclass
Analytical & Statistical Understanding — Offering Overview
This live session introduces the first framework offering, focused on Engine 4: Analytical & Statistical Understanding.
The session explains how organizations can:
- Distinguish signal from noise,
- Prevent overreaction to normal variation,
- and Make consistent, defensible timing decisions.
The offering integrates proven methods—including Lean, Six Sigma, and Statistical Process Control (SPC)—within the framework’s foundational judgment model, ensuring that interpretation and action remain valid under uncertainty.
Q2 2026 — Book Launch
HDE: Human Decision Engineering
This book introduces Human Decision Engineering (HDE) as a foundational discipline within the Decision Capability Framework.
It treats human judgment variability not as a flaw to eliminate, but as a system constraint to design for—especially in high-pressure, AI-mediated decision environments.
Throughout the rest of 2026
The remaining offerings for the other engines will be completed and released progressively as they get completed.
2027 — Book Launch
Choosing Clarity When Decisions Matter Most
This book is the complete, integrated articulation of the Decision Capability Framework.
It presents the full system view: why the framework is structured as it is, how its components work together, and what must be true for decision reliability to exist at scale.