The framework
CDTF connects organizational diagnosis, transformation design, and execution so that evidence shapes the program's design, governance, and operating decisions.
A connected structure
The framework provides the complete view. Seven models direct attention to connected areas of the organization. Dimensions group related concerns within each model. Constructs identify the specific conditions that can change how the response is designed and executed.
The seven models
Each model focuses on a different part of the organizational system and shapes a different set of design and execution choices. Each model's name reflects the connected concerns the model brings into view.
Select a model to explore its purpose and dimensions.
People and leadership
People engagement, Receptivity, Influence, Momentum, and Executive governance
PRIME addresses whether a transformation has genuine stakeholder investment, credible executive sponsorship and governance, effective influence networks, and enough momentum to continue when pressure rises.
Designed around evidence
Each transformation unfolds within an organization shaped by its own history, capabilities, relationships, constraints, and emerging conditions. CDTF provides a coherent architecture for understanding that environment and shaping a response without prescribing a fixed sequence. The models organize what needs attention, while the constructs serve as lenses for diagnosis and levers for design and execution. Evidence determines which constructs become active, how they are applied, and when they require attention. Only the constructs relevant to the conditions present require attention at any given time. As conditions change, constructs may become active, go dormant, or return to the work.
The capability test
Individual knowledge and skill are only part of organizational capability. People, teams, processes, systems, decisions, and support must work together reliably under real operating conditions.
A connected view
Program management organizes delivery. Technology teams design and implement the systems the transformation requires. CDTF connects those disciplines to choices about design, governance, capability, execution, communications, training, engagement, and adoption. This integrated view helps leaders understand the organizational conditions shaping the work, determine where the current approach needs adjusting, identify what the program may be missing, and assess whether the capability will remain after temporary support is phased out.
How the framework works
The models operate as lenses rather than stages in a sequence. Each brings a different class of conditions into focus. They also operate as levers, translating evidence into choices about design and execution. The first view contrasts CDTF's expert-toolbox approach with a packaged method. The second shows how constructs can move independently through diagnosis, design, and execution as conditions change.
Start with the comparison, then explore the construct lifecycle.
Built for judgment
Many transformation approaches begin with a standardized assessment based on a predefined view of the problem, then guide users toward a recommended intervention. CDTF begins by investigating the conditions shaping the organization and the transformation. Evidence reveals what requires attention, and judgment determines how the framework is configured and applied across diagnosis, design, and execution.
Benefits of CDTF's fit-for-purpose approach
The response is shaped around the conditions actually present.
Emerging risks and issues are surfaced while there is still time to change design or execution.
Attention and resources are not spent on tools the work does not require.
New evidence can activate or reactivate constructs while the larger architecture remains consistent.
The organization is better prepared to sustain the new way of operating after temporary program support ends.
Constructs operate independently. Some may be in diagnosis, design, or execution while others remain dormant or inactive. Continuous sensing can activate or reactivate any construct as conditions change.
Understand the condition and test the evidence.
Shape the response around what the condition requires.
Make the response operational and learn from the results.
Addressed for now while sensing continues.
Not currently relevant to the conditions present.
Example in motionCOAST is dormant while continuous sensing remains active.
Applications of CDTF
CDTF can be configured for enterprise AI adoption, ERP and digital transformation, mergers and integration, operating-model redesign, regulatory transformation, and workforce or process change. The architecture remains consistent while its emphasis, evidence, language, constraints, and application change to fit the organization and the transformation.
Additional applications will be featured over time, each showing how CDTF can be configured for a different transformation context.
Featured application
AI adoption makes the need for configuration especially visible. Technology can advance faster than an organization can redesign its decisions, controls, work, capabilities, and learning.
See how CDTF applies to AI transformationSee the structure in action
