FCC Collaboration Pattern Library

Reusable collaboration patterns extracted from the cross-reference matrix and ecosystem practices across 23 patterns.

Patterns by Type

Handoff Patterns

• Find-to-Create Handoff — Structured transition from research (Find) to design (Create)
• Create-to-Build Handoff — Blueprint-to-implementation transition with acceptance criteria
• Build-to-Critique Handoff — Implementation artifacts submitted for review and validation
• Knowledge Graph Flow — Ontology design flows through data engineering to quality review
• Local-First Deployment Pipeline — Model selection through optimization to operational deployment
• Open Science Publication Pipeline — FAIR data curation through reproducibility check to open access
• Data Engineering to ML Lifecycle — Pipeline output delivery from data engineering to ML lifecycle for feature engineering
• ML to DevOps Deployment — Model artifact delivery from ML lifecycle to DevOps for production deployment
• Interpretability Review Pipeline — Model artifacts flow from experiments through interpretability analysis to business reporting
• Application-ML Integration — Inference Orchestrator provides ML APIs to App Maker for frontend integration

Feedback Patterns

• Critique-to-Find Feedback Loop — Quality review findings trigger new research cycles
• Iterative Refinement Loop — Critique feedback drives Create revision within bounded iterations
• Data Quality Feedback Loop — Quality Guardian provides validation feedback to upstream data engineering personas
• Model Drift Retraining Cycle — Model Ops Steward detects drift and triggers retraining through Model Architect

Coordination Patterns

• Peer Lateral Coordination — Same-phase personas coordinate on shared deliverables
• Joint Venture Onboarding — New project onboarding into the ecosystem joint venture
• Model Specialist Hub-and-Spoke — Model Architect coordinates with multiple model specialists for parallel model development

Governance Patterns

• Governance Oversight Gate — Governance personas validate compliance before phase transition
• Ethics Review Gate — Responsible AI personas conduct ethics assessment before deployment
• Cross-Project Critique Protocol — Mandatory review for changes affecting multiple ecosystem projects
• Privacy Assessment Flow — Privacy impact assessment through consent design to ethics review
• Notebook Governance Workflow — Notebook Collaboration Coach establishes standards adopted by ML experiment teams

Champion Patterns

• Champion Team Orchestration — Champion persona coordinates a team of base personas