Test Data Synthesis Planner

Plan test data generation for:

Data model: {{data_model}}
Data volume: {{volume_requirement}}
Relationships: {{relationship_description}}
Privacy sensitivity: {{privacy_level}}

Provide:
1. Data generation approach (synthetic, anonymized, fixtures)
2. Realistic value distributions (e.g., Zipfian for popularity)
3. Relationship/referential integrity strategies
4. Edge cases and stress test scenarios
5. Anonymization/pseudonymization techniques
6. Tools (Faker, custom generators, database seeding)
7. Test data lifecycle management (reset, cleanup)
8. Performance of data generation pipeline
9. Compliance checklist (GDPR, data minimization)

Ensure {{privacy_level}} privacy compliance.