Stress-test a refund policy before the next support week proves the new rules confuse customers, flood agents, or break a promise already sold.
Refund policies fail when windows conflict with billing cycles, when exceptions become the real policy, when abuse cases are ignored, and when finance and support disagree on who can approve. A clean help-center draft is not evidence that the system can absorb a month of edge cases without quiet overrides.
What to put on the table
One sentence for what changes, who is in scope, the effective date, the success metric after thirty days, and the rollback trigger. Attach old and new policy text, sample tickets by reason, exception logs, and the macros agents will use. If finance, support, and legal disagree on who owns first response to a disputed refund, stop and reconcile first.
Name the decision you will make if the stress test finds nothing new, and the delay criteria if training or billing samples are not ready.
Attack surfaces
- Policy truth: windows, partial refunds, digital goods, and subscriptions the new text still mishandles.
- Customer shock: cohorts that lose a right they thought they had without a clear notice.
- Support load: tickets per day under realistic spike load, not the average week.
- Abuse and fraud: patterns that the new rules invite or fail to stop without hurting good customers.
- Finance timing: cash recognition, chargebacks, and credit risk in the first cycle.
Optional legal seat if terms change. Optional sales seat if quotes in flight still promise the old refund story.
How to run it
Feed Pingpong the policy draft, ticket history, and sample refunds. Early passes steelman the change. Later passes attack from customer, support, finance, and skeptic seats. End with a pass that turns surviving objections into clearer notices, a phased rollout, or a hold. Delete invented "someone will catch it" reviews and dual-counted savings from tighter windows.
When the policy tightens a window or adds a restocking fee, force support and customer seats to map every path that still assumes the old rule. Checkout copy, emails, and sales scripts count. A policy that looks clean in a doc while the site still promises "full refund anytime" will fail on the first real week.
Force a day-after narrative: what happens if a large account escalates, if chargebacks rise in one region, or if agents invent quiet exceptions. If those stories are stronger than your mitigation plan, fix the package before publish. Related: stress-test a billing change, stress-test a terms of service update, war-game a discount policy, pretend you are the angry customer, and the war-game decisions hub. Process: how to run a Pingpong.