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.

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.

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