Free operator resource · Version 1.0
Call center KPI template: formulas and a clean monthly review
A useful phone report starts with counts another person can reproduce. This worksheet uses six inputs to calculate answer rate, abandonment and three booking rates. Reconcile the call records and decide exactly what earns booking credit.
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No signup. No macros. Your call counts stay in your copy of the workbook.
Existing workbook check: its original hypothetical example gives 88.0%, 12.0%, 30.0%, 34.1% and 42.9%. The additional example below includes other unanswered outcomes. It is not built into the unchanged workbook.
Reporting rules
Save these alongside your export:
- Start and end of the reporting period, including the time zone
- Queues, locations and phone numbers included
- Whether the period includes after-hours calls
- What counts as a human answer
- Which call reasons are non-opportunities
- What counts as a booking and how it is linked to a call
- How later callbacks and cancellations are handled
- The date and time the report was extracted
Use one rule set for all six inputs. If the call export covers one location and the booking export covers the whole company, no formula can make them comparable.
Software labels alone are insufficient. ServiceTitan's documented call-lead definition includes an inbound call lasting at least 60 seconds or one marked as a lead. Its dashboard booking rate uses those leads. Housecall Pro's Voice reporting uses opportunity calls and includes calls that create estimates or jobs. An estimate and a booked job are different outcomes for this worksheet. ServiceTitan documentation, Housecall Pro documentation
Check the documentation for your own product and dashboard. Vendor definitions support this comparison; the reconciliation workflow is a DialWorth editorial recommendation.
Turn exported rows into a call ledger
For this review, one inbound call is one arrival at the selected phone operation. A transfer can create additional technical records without creating another arrival. Remove duplicate export rows and join transfer legs using your phone system's documented identifiers.
Do not delete genuine repeat calls simply because they share a phone number. If a caller hangs up and calls again, the second attempt also required capacity. Keep both attempts in a call-level report.
Avoid using phone number alone as a unique customer or opportunity identifier. Shared numbers, repeat requests and withheld numbers can make that assumption wrong. Use the platform's call, customer and opportunity identifiers where available, and leave uncertain matches unresolved.
For example, a file with 1,100 rows might contain 80 extra transfer-leg rows and 20 duplicate export rows. After removing those 100 extra rows, the ledger contains 1,000 inbound calls. Genuine repeat attempts remain in that total.
This is an example of a reconciliation rule, not a statement about a particular vendor's export format. If the necessary identifiers are missing, report that limitation before comparing performance.
Reconcile the six inputs
Use these labels in your supporting records:
| Input | What to count |
|---|---|
| I: Inbound calls | Every inbound arrival in the selected scope, counted once |
| A: Answered calls | Inbound calls connected to a person under the saved answer rule |
| Q: Queue abandons | Calls the caller ended while waiting in the selected queue before a person answered |
| U: Other unanswered | Remaining unanswered arrivals, such as voicemail or ring-outs, assigned to one outcome each |
| N: Answered non-opportunities | Answered calls that were not potential service bookings under the saved rules |
| B: Booked calls | Answered opportunity calls credited with a qualifying booking, at most once per call |
Start with two checks:
I = A + Q + U
Answered opportunities = A − N
Then confirm that B is no greater than A − N. Negative counts or N greater than A are errors. A zero denominator makes a rate undefined, so leave that rate blank.
A caller asking for a service you provide remains an opportunity even if the schedule is full or they decline the price. Those reasons explain why it did not book. They should not silently remove the call from the denominator.
Keep a separate count of records needing review. Unknown does not mean zero. If some answered calls have no reliable reason code, you may still know the answer rate, but you do not yet know the opportunity-based booking rate. Report what is known and leave the affected metric unresolved.
Version 1 workbook behavior: all six input counts are required before any rate appears. If a count is unknown, leave it blank. You can document a separately known answer fraction in your notes, but do not fill unknown categories with zero to force the workbook to calculate.
Additional reconciliation example
Assume all 1,000 inbound calls have been classified:
- 850 were answered
- 100 were queue abandons
- 50 had another unanswered outcome
- Of the answered calls, 200 were non-opportunities
- 260 answered opportunity calls produced a booking during that inbound call
The ledger closes: 850 + 100 + 50 = 1,000.
There were 650 answered opportunities: 850 − 200 = 650.
| KPI | Exact formula | Hypothetical result |
|---|---|---|
| Answer rate | A ÷ I × 100 | 850 ÷ 1,000 = 85.0% |
| Queue abandonment, all-inbound denominator | Q ÷ I × 100 | 100 ÷ 1,000 = 10.0% |
| Booked calls per inbound call | B ÷ I × 100 | 260 ÷ 1,000 = 26.0% |
| Booked calls per answered call | B ÷ A × 100 | 260 ÷ 850 = 30.6% |
| Booked calls per answered opportunity | B ÷ (A − N) × 100 | 260 ÷ 650 = 40.0% |
Percentages are rounded to one decimal place. Compare the original counts when checking the formulas.
The 26.0%, 30.6% and 40.0% figures answer different questions. None should be presented as an improved result over another. The numerator stayed at 260 throughout.
Our abandonment rate uses all inbound calls. If your platform divides abandons by queue entries or excludes short waits, give that measure a different label and retain its own denominator.
850 answered
100 queue abandons
50 other unanswered
850 answered = 200 non-opportunities + 650 opportunities
650 opportunities = 260 booked + 390 not booked during that inbound call
The ledger boxes are equal-sized labels, not an area scale. An eventual callback does not erase the original unanswered attempt.
Same numerator, different questions. The formula table above provides the same values as text.
Keep bookings, repeat attempts and callbacks separate
The example counts a booking created during the answered inbound call. Each booking has one credited call ID. A call creating several bookings still counts once in B, and an existing appointment discussed again does not become a second new booking.
Suppose one person calls, abandons, calls again and then books. The ledger contains two inbound calls, one answer, one abandonment and one booked call. The abandoned attempt remains visible even though the customer later booked.
If the office calls that person back instead, the outbound call falls outside this inbound ledger. Track its outcome in a separate callback report. Do not turn the abandoned inbound call into an answered call to make the records balance.
You can also measure eventual opportunity conversion, but use a separate opportunity-level report: distinct opportunities that booked within a stated follow-up window divided by distinct eligible opportunities in that starting group. Document how calls join to opportunities. Give each group the same observation time before comparing results.
Dates matter in other reports too. Jobber documents a quote-conversion chart using sent and conversion dates within a month, including circumstances where the rate can exceed 100%. That makes sense for its stated calculation, but it is not the same calculation as a share of this month's inbound calls. Jobber documentation
Keep cancellations visible separately. A gross booking count describes booking activity. A count of bookings still active at a cutoff describes a different outcome. Neither establishes completed work, collected revenue or profit.
Make the next review useful
At the monthly close, save the ledger, the export filters and the formula definitions with the workbook. During the month, a weekly check of unclassified calls and unmatched booking IDs can prevent a larger cleanup later.
In the review meeting, work through these questions:
- Do the counts reconcile, and which records are unresolved?
- Did any definition, queue or export filter change?
- Which time periods contain more unanswered calls?
- Which service types or lead sources account for the booking difference?
- What change will you test, and which same-definition measure will you check afterward?
Show the numerator and denominator beside every percentage. A rate from a few calls gives less information than a rate from a large, comparable set. Avoid ranking representatives who handle different call mixes without examining those differences first.
The spreadsheet provides a reproducible starting point. It cannot establish the cause of a staffing problem or turn every unbooked call into recoverable revenue. For the next level of analysis, review DialWorth's diagnostic scope. For terminology, use the booking and call definitions and the vendor definition audit.
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Suggested citation: DialWorth. Call center KPI template for home-service teams. Version 1.0, September 7, 2026. dialworth.com/resources/call-center-kpi-template/.
The page is the stable reference for the latest version. The download filename identifies this release. Send corrections through our contact form, including the affected formula or definition.