Improve Customer Service with First Contact
Resolution Rate % in Excel

Learn how to measure your Average First Contact Resolution Rate % in Excel so you can see how often customer issues are resolved on the first interaction. In this lesson, you’ll learn how to organize your data, spot performance trends over time, compare results against a target, and build a clear visual for reporting.

Download the Excel file used in this tutorial:

How to Calculate First Contact Resolution Rate % in Excel

1. Create a Month-End Date Column

  • Start with the open date for each case or job.
  • Use the EOMONTH function to convert each open date into the end of its month.
  • This gives you a consistent monthly grouping field for the rest of the analysis.
  • Format the new column as a date so the month-end values display correctly.

2. Build a Unique List of Months

  • Use the UNIQUE function on the month-end column you just created.
  • This removes duplicates and gives you one row for each reporting month.
  • This list becomes the timeline for your KPI table and chart.

3. Count the Total Number of Cases by Month

  • Since each row represents one job or case, count how many rows belong to each month.
  • Use the COUNTIF function against the month-end column.
  • This gives you the total case volume for January, February, March, and so on.
  • Label this column something like Number of Cases.

4. Count the Cases Resolved on First Contact

  • Use the resolution flag column to identify which cases were resolved on the first interaction.
  • In the video, resolved cases are marked with a 1.
  • Use the SUMIFS function to total those resolved cases by month.
  • This gives you the number of cases that were successfully resolved on first contact for each reporting period.

5. Calculate the First Contact Resolution Rate %

  • Divide the resolved-on-first-contact count by the total number of cases for each month.
  • Format the result as a percentage.
  • Add decimals only if you want more precision in the display.
  • Fill the calculation down for all months in your table.

6. Add a Target Line

  • Create a target column next to the KPI results.
  • Enter your target percentage once, then reference that same value down the column.
  • This keeps the target dynamic, so if you change it once, the full chart updates automatically.
  • In the video example, the target is set at 75%.

7. Select the Data for the Chart

  • Highlight the month column and the total case volume column first.
  • Then hold Control and also select the First Contact Resolution Rate % column and the target column.
  • This allows you to chart the case counts together with the KPI percentage and the target line.

8. Insert a Combo Chart

  • Go to Insert and choose a Combo Chart.
  • Set the Number of Cases series as columns.
  • Set the First Contact Resolution Rate % and Target series as lines.
  • This creates a mixed view that shows both workload and performance on the same chart.

9. Move the Percentage Series to a Secondary Axis

  • The case counts and percentage values are on very different scales.
  • Change both the KPI line and the target line to the secondary axis.
  • This makes the percentage trend readable instead of compressing it at the bottom of the chart.
  • You can place the percentage axis on the left or right depending on which view you prefer.

10. Clean Up the Formatting

  • Adjust the percentage axis so it displays whole percentages instead of long decimals.
  • Rename the chart with the KPI title.
  • Resize the chart and table so they are easier to read.
  • This makes the final output presentation-ready.

11. Add Data Labels Only Where They Matter

  • Adding labels to every series can make the chart too noisy.
  • Instead, add labels only to the KPI line if you want to emphasize the monthly percentages.
  • Another good option is to label only the peak and low points.
  • You can also format those labels with a background fill or bold text to make them stand out.

12. Extend the Analysis Further

  • Once the monthly structure is built, you can reuse the same setup at a more detailed level.
  • Instead of month, you could analyze by CSR, dispatcher, or technician.
  • The same framework helps you identify outliers and performance gaps across individuals or teams.
  • That makes it easier to spot where coaching or process improvement is needed.

Tracking Average First Contact Resolution Rate % in Excel

Q1. What is Average First Contact Resolution Rate %?
Average First Contact Resolution Rate % measures how often a customer issue is resolved during the first interaction. It’s an important customer success KPI because it reflects service quality, team efficiency, and the overall customer experience.

Q2. Why is First Contact Resolution Rate important to track?
Tracking this KPI helps you understand whether your team is solving issues quickly or creating repeat calls, delays, and frustration for customers. A stronger First Contact Resolution Rate usually leads to better customer satisfaction, fewer follow-ups, and a more efficient support process.

Q3. What can I learn by tracking First Contact Resolution Rate by month?
Monthly tracking helps you identify trends in service performance over time. You can see when resolution rates improve, when they decline, and whether seasonal demand or workload changes are affecting your team’s ability to resolve issues on the first contact.

Q4. Can I use this same process for other customer success KPIs?
Yes. The same Excel reporting approach can be used for other customer success metrics such as response time, repeat service rate, resolution time, customer satisfaction, or callback rate. Once your data is organized, you can apply the same framework to many KPIs.

Q5. What’s the best way to visualize First Contact Resolution Rate?
A combo chart works especially well because it lets you compare total case volume with your resolution percentage and target rate in one view. This makes it easier to understand both performance trends and workload at the same time.

Q6. Can this KPI be analyzed by employee or team member?
Yes. Once the data is structured correctly, you can break down First Contact Resolution Rate by customer service rep, dispatcher, technician, or team. This helps you spot top performers, identify coaching opportunities, and understand where service issues may be happening.

 

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