Learn how to measure your team’s first-time fix rate so you can spot hidden inefficiencies like repeat visits, wasted truck time, and unhappy customers. In this lesson, you’ll build a clear month-by-month view, add a performance benchmark, and create a technician heat map that makes it easy to see who is meeting the standard and where coaching is needed.
Download the Excel file used in this tutorial:
Result: you now have a simple Yes or No flag that filters out jobs that should not count in the KPI.
This converts the outcome into a clean binary field you can count.
This gives the count of successful first-time fixes per month.
This gives the count of eligible jobs that required a return visit.
Q1. What is first-time fix rate (FTFR)?
First-time fix rate is the percentage of jobs completed successfully on the first visit, without needing a return trip. It’s a key service KPI for improving efficiency, customer satisfaction, and profitability.
Q2. Why does first-time fix rate matter if revenue looks strong?
Strong revenue can hide problems like duplicate labor, repeat truck rolls, and callbacks. Tracking FTFR helps you uncover operational waste and protect your customer experience before bad reviews start showing up.
Q3. What will I be able to track after watching this video?
You’ll be able to track how many jobs were fixed on the first visit, how many required a return visit, and your overall FTFR percentage. You’ll also create a month-by-month chart and a technician view to compare performance across your team.
Q4. What’s the purpose of setting a benchmark?
A benchmark gives your team a clear target (for example 75% or 95%) so you can quickly identify when performance drops below the standard and take action faster.
Q5. How does the technician heat map help?
The heat map makes patterns obvious at a glance. You can quickly spot which technicians consistently meet the benchmark, which months were weaker, and where follow-up training or process changes will have the biggest impact.
Q6. What if there isn’t enough data for a technician in a month?
If a technician only has one or two jobs in a month, the percentage may be misleading. This video also calls out the importance of checking job volume so you’re making decisions based on enough data.
Q7. Can I use this same approach for other breakdowns besides technicians?
Yes. Once you understand the setup, you can analyze first-time fix rate by customer type, problem category, system type, or any other field you track in your service data.
Q8. Do I need ServiceTitan to use this?
No. The example uses a ServiceTitan-style export, but you can recreate the same structure from other software or manual tracking as long as you have the right job-level fields.