A lightweight template for resolving problems consistently, including examples of what “good” looks like.
Service recovery is what happens after something goes wrong. The goal is not only to fix the immediate issue, but to restore trust and prevent the same failure from repeating. A simple standard makes this consistent across teams.
Use this as a checklist. It works for low volume and scales as you grow. The key is to keep the steps clear and the language simple.
Confirm you understand the problem. Say what you will do next, and when the customer will hear from you again.
Stop the damage. Provide a workaround, pause an order, or protect the customer from further impact.
Fix the issue and confirm the customer is back to a usable state. Do not close the case until this is true.
Restore trust. Apologize clearly, explain what happened in plain language, and offer a fair remedy if needed.
Log the root cause and the fix owner. If the issue repeats, it must trigger a system change.
Good recovery is concrete. It sets expectations, gives a clear owner, and avoids vague statements like “we will look into it”. Below are examples your team can reuse.
“Thanks for reporting this. I can see the charge is duplicated. I will confirm the cause and update you by 3pm today. If we need more time, I will tell you before 3pm.”
“To prevent further charges, I have paused automatic billing on your account while we fix this. You will not be charged again until we confirm it is resolved.”
“We reversed the duplicate charge and you will see it reflected in 2 to 3 business days. I will check again tomorrow and confirm once it appears.”
Service recovery should not be a relay race. Define a case owner who stays accountable even if work is delegated. This prevents customers from repeating themselves and stops cases from getting stuck.
You do not need a complex dashboard. Track the basics and review them on a regular cadence.
Percent of cases where the customer received an update by the promised time. This is a strong proxy for reliability.
Percent of cases that return for the same issue within 7 days. This is a practical proxy for fix quality.
For recurring issues, track whether a root cause and owner exist. If you cannot name the owner, the fix is not real.
Pick one common issue type and pilot this playbook for two weeks. Save the best responses as examples. Then turn the checklist into a standard your team can follow without asking for approval.
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