Writing a Fraud-Loss Post-Mortem
A chargeback slipped through or a bot cleaned out your best product. Before you move on, write a blameless post-mortem. This template gives you the exact sections to fill in so the same loss never happens twice.

Every fraud loss is expensive tuition. The stores that keep paying it are the ones that treat each loss as bad luck. The stores that stop paying it write the loss down, understand exactly how it happened, and change one thing so the same gap closes.
A post-mortem is how you convert a painful incident into a durable improvement. Done well, it takes forty-five minutes and saves you the next four losses. Done badly, it turns into a blame session that teaches everyone to hide problems. This guide gives you a blameless template you can copy for any fraud event, from a single chargeback to a full attack.
Why blameless matters
The word blameless is not softness. It is accuracy. When people fear being blamed, they under-report, shade the truth, and skip the uncomfortable details that actually explain the failure. A blameless post-mortem assumes that everyone acted reasonably given what they knew at the time, and focuses relentlessly on the system that let the loss happen, not the person at the keyboard.
The question is never "who approved this order." It is "what made approving this order look correct, and how do we make the wrong choice harder next time."
The template
Copy the sections below into a doc and fill each one in. Keep it short. A post-mortem nobody reads because it is twenty pages long has failed.
1. Summary
Two or three sentences a busy person can read. What happened, what it cost, what changed.
2. Timeline
A minute-by-minute (or day-by-day) account. Facts only, no interpretation. Use timestamps.
- 14:02 First fraudulent order placed.
- 14:03-14:19 25 further orders, same product, distinct emails.
- 14:40 Fulfillment auto-processed 9 orders.
- Next day 09:15 Support noticed clustering while handling a "where is my order" ticket.
- 09:30 Remaining orders cancelled and refunded.
The timeline is the backbone. Everything else references it.
3. Impact
Quantify the loss honestly. Include the parts people forget.
- Direct product loss: value of goods shipped.
- Fees: chargeback fees, payment processing, shipping.
- Time: staff hours spent responding.
- Downstream risk: processor scrutiny, chargeback ratio impact, inventory that is now gone from legitimate customers.
4. Root cause
Not the surface event, the underlying cause. Use a simple "five whys" chain.
- Why did we lose product? Fraudulent orders were fulfilled.
- Why were they fulfilled? Auto-fulfillment ran before review.
- Why was there no review? No velocity rule flagged 26 orders in 17 minutes.
- Why no velocity rule? We had never configured one.
- Why not? We assumed our low-fraud history meant we did not need one.
The real root cause here is not the bot. It is the absence of an automated velocity limit and the assumption that quiet history equals future safety.
5. What went well
Blameless works both ways. Name what worked so you keep doing it.
- Support recognized the pattern quickly once they looked.
- Refunds and cancellations were fast and clean.
- Payment processor was cooperative because we contacted them proactively.
6. What went wrong
The honest list. Systems, not people.
- No automated velocity or email-pattern rule existed.
- Auto-fulfillment left no window for review on a high-risk product.
- No alert existed for order spikes.
7. Action items
This is the only section that changes the future. Each item needs an owner and a date. Vague items ("be more careful") are not action items.
| Action | Owner | Due |
|---|---|---|
| Add velocity rule: max 3 orders per email/hour | Priya | Mar 6 |
| Block disposable email domains at checkout | Priya | Mar 6 |
| Add manual-review hold on limited drops | Sam | Mar 10 |
| Set up order-spike alert | Sam | Mar 12 |
The rules in this example are exactly what a fraud filter enforces automatically. If your action items keep coming back to "we should block X pattern," that is a strong signal to let Shieldy — Fraud Filter handle velocity, email, IP, and country rules for you, so the fix is a setting you toggle rather than a habit you have to maintain by hand.
8. Follow-up
Post-mortems die when action items are never checked. Schedule a five-minute review two weeks out.
- Are all action items closed?
- Did the new rules catch anything (or block anyone legitimate)?
- Does anything need tuning?
Running the meeting
A few rules keep the session productive:
- Timebox it. Forty-five minutes. If it runs long, the timeline is too detailed.
- One writer, everyone contributes. Fill the doc live so there is a record.
- No "should have." Replace every "you should have caught this" with "what would have made this catchable."
- End with owners and dates. A post-mortem with no assigned action items is just a story.
The habit that compounds
The first fraud post-mortem you write will feel like overhead. The fifth will feel like a superpower, because you will start recognizing patterns across incidents: the same entry points, the same missing rules, the same optimistic assumptions. That pattern library is what turns a reactive store into a resilient one.
Write the loss down while it still stings. Then close the gap once, and let automated rules keep it closed. If your action items point at velocity, email, or geography rules, Shieldy can turn them from a to-do into a setting.
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