The CAXED Model

 

Improving results requires identifying where performance is constrained, not applying generic best practices. A holistic diagnostic tool is needed for this. 

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Commercial performance rarely fails because of effort. Most companies have capable people, clear strategies, and high levels of activity. Still, results fall short. Deals are lost, execution is inconsistent, and performance varies more than it should.

 

The problem is rarely a single factor. It is how commercial work comes together in practice. This applies whether complexity comes from scale or simply from how work, priorities, and decisions are structured.

 

The CAXED Model addresses this directly. It provides a structured way to understand how performance is created, where it breaks down, and what limits results.

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It is grounded in hands-on work within complex commercial environments, where coordination, priorities, and execution must align. In these settings, performance issues are not isolated, they follow recurring patterns driven by how capabilities, activities, systems, and decisions interact.​ The model focuses on five dimensions:

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• Competencies

• Activities

• Cross-functional collaboration

• Enablement

• Direction.

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Competencies define what people can do. Activities reflect how work is executed. Collaboration determines how work flows across roles. Enablement covers the systems and processes supporting execution. Direction defines how priorities and decisions are structured.

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These elements are often managed separately. Performance depends on how they work together.​ When they do not align, the impact is clear. Strong teams underperform. High activity produces little impact. Sales slows due to internal dependencies. Systems add complexity. Strategy fails to translate into consistent decisions. These are not isolated issues.

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They are patterns.

 

The CAXED Model identifies where these patterns occur and what drives them. It is grounded in data-driven analysis of what actually drives commercial performance — and what does not.

Rather than applying best practices, the focus shifts to identifying constraints and understanding their impact.

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The objective is not to optimize parts, but to improve the system. The result is stronger execution, more consistent performance, and a clearer path from strategy to results.

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If you want to understand where commercial performance is constrained in your organization, the CAXED Model provides a structured starting point.​

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Key takeaways

• Performance is a system outcome — not a single-factor problem

• Most issues are patterns of misalignment, not root causes in isolation

• Focus on constraints and what actually drives results

• Improve the system — not just the parts

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