Stress-test a data retention policy before the schedule goes live and proves the deletion path is soft, the legal-hold path is informal, or the product still depends on data you promised to erase.
Retention policies fail when deletion is a ticket with no owner, when backups quietly keep copies past the schedule, when legal holds are tribal knowledge, and when product analytics still assume fields you just committed to drop. A calendar invite labeled retention is not evidence that the company can hold the line without chaos.
What to put on the table
One sentence for why the policy exists, the retention windows you will honor, who owns deletion proof and hold exceptions, and the rollback trigger if the policy cannot meet the compliance goal. Attach the data map, the deletion runbooks, the open risk list, and the customer language you would use. If legal, product, and eng disagree on what "deleted" means, stop and reconcile first.
Name the decision you will make if the stress test finds nothing new, and the delay criteria if deletion proof or hold owners are missing.
Attack surfaces
- Deletion theater: jobs that exist on paper and fail under volume.
- Backup silence: copies that outlive the schedule with no named carve-out.
- Hold gaps: litigation and investigation paths that never reach the operators.
- Product collisions: features, ML, and analytics that still need the data.
- Domain overlap: policies that share fate with a privacy or ToS update already in flight.
Optional customer seat if enterprise contracts sit inside the new windows. Optional finance seat if audit fees or storage spend depend on retention you just cut.
How to run it
Feed Pingpong the policy draft, data map, and open risk list. Early passes steelman the plan. Later passes attack from legal, product, eng, and support seats. End with a pass that turns surviving objections into a clearer deletion ladder, a named owner, or a hold. Delete invented "just this once" keep paths and dual-counted spare storage.
When the policy coincides with a privacy update or vendor exit, force legal and eng seats to map every path that still assumes quiet retention. Logs, tickets, and partner exports count. A retention policy that looks clean in a deck while product still ships features on stale fields will fail on the first escalated audit.
Force a day-after narrative: what happens if a legal hold lands mid-deletion, if a backup restore revives erased data, or if two teams disagree on whether anonymization counts as deletion. If those stories are stronger than your mitigation plan, fix the package before you lock dates. Related: stress-test a privacy policy update, stress-test a terms of service update, stress-test a vendor exit, pretend you are the security lead, and the war-game decisions hub. Process: how to run a Pingpong.