Propagate communication opt-outs ahead of ordinary profile updates
An opt-out remains queued behind thousands of cosmetic profile changes.
- Focused work estimate
- 3h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Privacy engineering · Event ordering
Estimated field mix
- Privacy engineering50%
- Integrations30%
- Distributed systems20%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
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Project context
A fictional account team sees overwritten edits, duplicate contacts, and stale opt-out preferences after synchronization retries.
Setup prerequisites
- Create a local CRM double and synthetic contact records for two organizations; no real personal data or CRM credentials.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
Acceptance criteria
- Prioritize restrictive preference updates.
- Prevent older permissive values from restoring permission.
- Record propagation state without exposing contact details in logs.
Implementation constraints
- Use synthetic preferences; no messages are sent.
Verification to include
- Propagate a new opt-out.
- Replay an older opt-in and preserve the restrictive state.
Deliverables
- Preference propagation checks.
Rollout and recovery
Pause outbound communication integration when preference state is uncertain.
Value of the work
For the engineer: Practice sync cursors, conflict policies, privacy boundaries, and replay.
For the team: Provide predictable customer-data synchronization with inspectable conflicts.
Evidence boundaries
Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.
Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.