Implement Data Privacy & Access Controls Framework for User-Level Analytics
## Overview
Establish the privacy and access control mechanisms required to safely surface user-level and team-level analytics while protecting developer privacy and preventing misuse as surveillance tools. This is a critical blocker identified in the epic dependencies.
## Scope
- Design and implement role-based access controls (RBAC) for analytics features
- Implement data aggregation rules (minimum team size of 5 for team metrics)
- Create opt-in/opt-out mechanisms for individual metrics visibility
- Implement audit logging for analytics data access
- Design anti-gaming safeguards to prevent metric manipulation
- Create transparent data usage policies and documentation
- Implement data governance controls for user-level data exposure
## Acceptance Criteria
- [ ] RBAC model designed and documented
- [ ] Individual metrics visible only to the individual by default
- [ ] Aggregated team metrics enforce minimum team size of 5
- [ ] Opt-in/opt-out mechanisms implemented and tested
- [ ] Audit logging captures all analytics data access
- [ ] Anti-gaming safeguards prevent metric manipulation
- [ ] Data usage policies documented and reviewed by legal/privacy
- [ ] Privacy controls tested with design partner customers
- [ ] Ethics review completed for feature decisions
- [ ] Documentation published for customers on privacy practices
## Related Epic
Epic #20339: Create a Developer Productivity/Software Engineering Intelligence feature with advanced GitLab Analytics
## Notes
See privacy constraints documentation: https://docs.google.com/document/d/1Zpx8XWe6OLBzIr4MVyNTZafq8Eez-tIGmcMUPSEpF0U/edit
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