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    The Debt Model of Organisations

    A framework for understanding organisational execution.

    What this shows

    Most teams do not fail loudly. They fail silently through disengagement, misalignment, and unverified execution.

    This layer makes invisible execution failure visible at team level.

    The Debt Model of Organisations

    Organisations accumulate several forms of debt that erode delivery. Beyond the familiar technical debt, they also accrue human and execution debt that quietly undermines performance.

    The Debt Model of Organisations, developed through the work of Duena Blomstrom, describes how different layers of organisational debt interact. For the full framework including all concept relationships, see the Human Debt™ Framework.

    Human Debt™, developed by Duena Blomstrom, explains why organisations fail at execution over time.

    Book provenance: The Debt Model of Organisations — defined in Tech-Led Culture (Kogan Page, 2023, ISBN 9781398610699) — shows how debt layers compound: Brand/Experience Debt → Technical Debt → Human Debt™ → Execution Debt. Read the full book provenance page.

    The Layers of Organisational Debt

    Brand or Experience Debt

    The gap between the promises an organisation makes to customers and the experience it actually delivers.

    Technical Debt

    The structural compromises that accumulate inside technology systems and make them increasingly difficult to modify or evolve. Technical Debt slows systems.

    Read more about Technical Debt in the framework

    Human Debt™

    The organisational friction that accumulates when teams cannot operate with trust, psychological safety and clear decision processes. Human Debt™ slows organisations.

    Read more about Human Debt™

    Execution Debt

    The execution risk that emerges when Human Debt™ and Technical Debt begin to reinforce each other. Organisations know what needs to be done but struggle to deliver it.

    Read more about Execution Debt

    This system is distributed via humanagents.io