Summary
Implement privacy-preserving data storage guidance, clear data-use documentation, and analytics surfaces that directly inform instructional improvement and system iteration.
Scope
- document collected data, retention, and intended analytic use
- define storage boundaries for raw audio, transcripts, derived events, and summaries
- identify privacy-preserving defaults and de-identification opportunities
- surface analytics views that support instructional improvement rather than raw metric dumping
- align documentation with KIVA’s modular analytics architecture
Deliverables
- privacy and data-use documentation in the repo
- storage policy recommendations
- instructional analytics summary requirements
- reviewable guidance for product and research stakeholders
Testing
- redaction/privacy utility tests where applicable
- documentation completeness checklist
- analytics summary rendering tests if UI work is included
Dependencies
- should proceed alongside analytics work, not after it
Summary
Implement privacy-preserving data storage guidance, clear data-use documentation, and analytics surfaces that directly inform instructional improvement and system iteration.
Scope
Deliverables
Testing
Dependencies