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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