154: John Dues: "What Does a System of Profound Knowledge Really Look Like?"
This conversation with John Dues challenges one of the most deeply held assumptions in leadership: that people are the primary drivers of performance.
Drawing on W. Edwards Deming’s System of Profound Knowledge, John introduces a radically different lens—one where systems, variation, psychology, and learning cycles shape nearly everything we see in organizations.
Erik enters the conversation curious—and leaves with a fundamentally different way of thinking about data, incentives, and what it actually takes to improve performance.
👤 About the Guest
John A. Dues is the Chief Learning Officer and Chief Operating Officer at United Schools in Columbus, Ohio.
- Improvement science practitioner and systems thinker
- Author of Win-Win: W. Edwards Deming, the System of Profound Knowledge, and the Science of Improving Schools
- Has helped build seven schools and nonprofit organizations
- Deeply focused on applying Deming’s philosophy to real-world systems
🧭 Conversation Highlights
- The System > The Individual. Most organizations operate in silos, optimizing departments instead of the whole. Ironically, this often makes overall performance worse.
- The 4 Components of Profound Knowledge
- Appreciation for a system
- Knowledge about variation
- Theory of knowledge
- Psychology
- The Data Illusion. Comparing two data points (month-over-month, year-over-year) is often meaningless. The real story lives in patterns over time.
- Common vs Special Cause Variation. Most performance differences aren’t meaningful—they’re just noise within the system.
- Why Incentives Backfire. Commission structures and ranking systems often drive behavior that harms the organization as a whole.
- PDSA Cycles (Plan-Do-Study-Act). Improvement isn’t about big initiatives—it’s about small, fast, iterative experiments.
💡 Key Takeaways
- Most results come from the system—not individuals. Deming estimated 95–97% of outcomes are system-driven.
- Optimizing parts can break the whole. Sales and operations working “perfectly” in isolation can create massive dysfunction together.
- Measurement must match intent. Measuring for accountability vs improvement leads to completely different behaviors.
- Data doesn’t tell stories—people do. Data points direction, but context completes the picture.
❓ Questions That Mattered
- What if the problem isn’t your people—but your system?
- Why are we measuring this—and what are we trying to do with it?
- Are we reacting to noise or actual signal?
- What behavior is our system really incentivizing?
- How do we know what we think we know?
🗣️ Notable Quotes
- “A lot of organizations optimize departments… and make the system worse.”
- “95% of results are attributable to the system—not the people.”
- “The story is locked up in the pattern over time.”
- “Why you measure something determines how people behave.”
- “You don’t implement fast and learn slow—you learn fast and scale slow.”
- “Extrinsic motivation can crush the love of learning.”
🔗 Links & Resources
