Customers keep texting and asking questions but tickets are piling up. Does your customer service team have to work overtime to "clean up" but the more you clean, the bigger the inventory gets?
If so, it's likely that the backlog ticket has silently exceeded the team's ability to handle it. Backlog tickets (also known as dead tickets) are a block of unprocessed requests that accumulate beyond the team's current resolution capacity, often found in prolonged "new" or "processing" states. The bulging backlog makes customers wait for a long time, the team is overloaded, and the longer it lasts, the more sluggish it becomes. So how to effectively reduce backlog? The answer is not to "put in more hours" but to clean up strategically: categorize old piles, deal with them according to time frames, close unresponsive tickets, and install anti-recurrence mechanisms. According to Zenify's survey, businesses that clean their backlog properly reduce operating costs by 35%. The 4 steps below are in order. Do them one after another and you will see the pile of old tickets gradually become smaller.
TL;DR
- Backlog = accumulated tickets exceed processing capacity.
- Don't plow overtime, move according to strategy.
- 4 steps: classify old pile → time frame → close unresponsive tickets → measure again.
- Distinguish between "valid waiting tickets" and "forgotten tickets".
- The anti-recurrence mechanism is more important than one-time cleaning.
How backlog is formed
Backlog does not appear in a day, it accumulates slowly through daily operating habits. Usually, this condition comes from the following 4 causes:
No SLA: no one knows which ticket has priority, so new tickets keep piling up on old tickets.
Uncategorized: Tickets are difficult to mix in a pile of simple items, everyone is afraid to touch them.
There is no owner: tickets fall into the middle slot, no one takes responsibility for handling them.
Not reviewing periodically: Every week you "leave it to next week", and at the end of the week you feel even more sluggish.
Things to remember: if you don't fix these 4 causes, even if you clean up the backlog, it will swell again just a few weeks later.
Step 1: Sort the entire pile of old tickets
To clean up quickly, you must first know what you are holding. Please review all existing backlogs and divide them into 4 categories as shown in the table below:
Type | Processing
Ticket resolved but not closed | Close, take notes
Ticket waiting for customer response > 3 days | Last message, close when expired
Tickets are simple, can be done immediately | Work during the day
Tickets are difficult, need to escalate | Assign specific person + deadline
One rule to remember: don't "touch" each ticket in the same order, because doing so is both slow and tiring. Sort first, then process in groups, so the customer service department cleans up faster and sees progress more clearly.
Step 2: Resolution time frame
Setting a clear time frame for cleaning is a must, because cleaning the backlog without a deadline will take forever to clean. Specifically, you can divide it into the following batches:
Phase 1 (Day 1-2): Close tickets that have been completed but have not yet been closed, along with tickets that are overdue.
Phase 2 (first week): Process all simple tickets, prioritizing those that can be done on the same day.
Phase 3 (weeks 2-3): for difficult tickets, assign a specific owner, set a clear deadline and escalate if necessary.
At the end of each round: measure the backlog so the whole team can see the real progress.
Step 3: Close unresponsive tickets
Besides the tickets that customers are still waiting for, a large part of the backlog comes from tickets that customers have forgotten: they have finished working but did not confirm, or are no longer interested. For this group, you should apply the following rule:
Last message: "Our team has finished processing, if you need further assistance, please text again."
Wait 3 days for no response → close the ticket and clearly note the reason.
This must be done with a process, not "naturally closed"; Customers are still fully informed.
Step 4: Anti-recurrence mechanism
Cleaning up the backlog only really makes sense if the backlog doesn't swell again. Therefore, you should pre-install the following 3 anti-relapse mechanisms:
SLA + warning: Tickets that are about to expire must be reported immediately, do not let them sit silently.
Weekly backlog meeting: Spend 15 minutes looking at ticket inventory, who is stuck, what support is needed.
Limit "queue" per employee: regulates the maximum number of tickets being processed; When it's too late, assign it somewhere else or report to management.
Measure for successful cleaning
To know whether the cleanup was truly successful or not, monitor a few indicators before and after the cleanup:
Number of remaining outstanding tickets.
Average age of existing tickets, that is, how many days the backlog is "old".
Percentage of tickets reaching SLA during the week.
Small note: if the inventory decreases but the average age is still high, it means there are still "stuck" tickets that have not been thoroughly resolved.