privacy-data-flow-map

name	privacy-data-flow-map
description	Map personal and sensitive data from collection through use, storage, logs, analytics, sharing, export, backup, retention, and deletion with purpose and ownership.

Privacy Data Flow Map

Use when this procedure is the primary professional method needed for the assignment.

Procedure

1. Confirm the decision or outcome this work must support, its scope, owner, constraints, and definition of success.
2. Establish the evidence baseline using schemas, APIs, event catalogs, logs, vendors, storage, retention policies, and product flows. Do not fill material gaps with assumptions when they can change the result.
3. Inventory fields and identifiers, trace system boundaries and subprocessors, capture purposes/legal-policy basis supplied by owners, and identify shadow copies or derived data.
4. Exercise realistic edge, failure, transition, or exception cases that could invalidate the result; record unresolved uncertainty explicitly.
5. Validate the output against the original outcome and any neighboring professional contracts so this skill does not silently absorb another specialist's authority.
6. Record the resulting artifact, measurements, decisions, provenance, and handoff information needed for another owner to reproduce or continue the work.

Quality gate

Every material copy and transfer has a documented purpose, owner, retention/deletion path, and trust boundary.