Quick answer
Ticket Backlog is calculated as:
Open Tickets at Period EndUse this Excel version when your inputs are on row 2:
=B2What is Ticket Backlog?
Ticket Backlog is a Customer Support KPI used to turn business activity into a clear number. It helps a support manager reviewing team performance decide whether the team is resolving customer issues quickly and consistently.
Customer support KPIs track service speed, resolution quality, workload, satisfaction, and support cost.
Real-life example
Imagine a support manager reviewing team performance. The team adds the inputs for Ticket Backlog to a support operations dashboard, calculates the KPI for the current month, and compares it with the previous month and target. In the sample below, the result is 360. That number becomes useful when everyone uses the same formula each month.
| Excel cell | Input | What it means | Sample value |
|---|---|---|---|
| B2 | Open Tickets at Period End | the number of records included in the same reporting period | 360 |
| Result | Ticket Backlog | Output of the KPI formula | 360 |
How to calculate Ticket Backlog in Excel
- Create one row per reporting period, team, product, campaign, location, or customer segment.
- Add one input per column. Do not combine inputs in the same cell.
- Paste the Excel formula in the KPI result column.
- Format the result as Number.
- Copy the formula down the table and compare the result against target, previous period, and trend.
- Use the same date range for every input.
- Confirm that the denominator is not blank or zero.
- Document whether the KPI is calculated before or after discounts, refunds, taxes, returns, or cancellations.
- Keep the definition stable so reports remain comparable over time.
Power BI DAX measure
If you also report this KPI in Power BI, create a measure instead of hard-coding the calculation in a visual. Replace the measure names below with the names used in your model.
Ticket Backlog = SUM('KPI Data'[Open Tickets at Period End])For best results, build base measures first, such as revenue, cost, customers, orders, or tickets, and then build the KPI measure from those base measures.
How to read the result
Lower is usually better, because this KPI often represents cost, waste, delay, risk, loss, or friction.
Do not read the KPI alone. A single value can be misleading without a target, trend, segment, and business context. For example, the same result may be good for one product line but poor for another.
Useful comparisons
- Current month versus previous month.
- Actual result versus target or budget.
- By channel, product, customer segment, team, or location.
- Rolling average over several periods to smooth one-off spikes.
Common mistakes
- Mixing time periods, such as monthly cost with quarterly revenue.
- Using a total when the KPI should be segmented.
- Changing the formula definition after the dashboard is already in use.
- Comparing two teams that collect the inputs differently.
- Ignoring blanks, zeros, refunds, cancellations, or duplicate records.