The question behind the term
Privacy principles remain decorative until they change a schema, event, interface or retention job. Teams need to know which user value requires each piece of data and what breaks when it is removed.
A reviewable approach
For every field, record purpose, source, readers, derived copies, retention and deletion behavior. Review analytics and support tooling because they often recreate sensitive data outside the primary product boundary.
- Challenge every collection purpose
- Keep sensitive bodies out of analytics
- Design export, correction and deletion early
- Re-review data flow when features change
The boundary to keep visible
Privacy-first does not mean zero data, anonymity or automatic legal compliance. The appropriate basis, notices and processor terms depend on the product, people and jurisdiction.