Skip to content
Knowledge Architecture Model

Knowledge Architecture Model


Status: Designed during the sabbatical - generalized from the knowledge base I built and led at Zeta

I designed this knowledge architecture model, generalizing what I built and ran at Zeta, to give a documentation team a shared structure for organizing and reusing information at scale. The knowledge architecture system is designed as a layered structure that connects how information is organized with how it is consumed and reused across workflows.

Knowledge Architecture System Diagram

Figure: Knowledge Architecture System — Structure, Flow, and Execution


Knowledge Flow

Creation → Structuring → Storage → Discovery → Reuse → Governance
  • Creation: Knowledge is generated through engineering and operational work
  • Structuring: Information is organized using defined templates and taxonomy
  • Storage: Content is stored in centralized repositories
  • Discovery: Users access knowledge through search and navigation
  • Reuse: Existing knowledge is applied across teams and workflows
  • Governance: Content is maintained, reviewed, and updated over time

System View

The architecture connects structure with usability. This model is designed so that knowledge is not only stored, but actively supports how teams operate and scale.

Knowledge Architecture System View — Taxonomy to Structured Content to Central Repository to Search and Discovery to User Workflows

Figure: Knowledge Architecture System View — information flows from taxonomy through structured content into a central repository, surfaced via search and discovery into user workflows


Related

Knowledge Base Architecture - this model applied in practice at Zeta, with measured results Documentation Governance Framework - the governance layer that keeps this architecture consistent