How to Measure Field Technician Efficiency

Your best technician closes 8 work orders a day. Your second-best closes 5. So the first one is more efficient, right?

Not necessarily. If technician #1 has a 60% first-time fix rate and racks up callbacks, while technician #2 fixes every job on the first visit — #2 is the one keeping your contracts profitable. Volume doesn't tell you much. The metrics that actually matter are the ones that show you how work gets done, not just how much.

This guide breaks down the three metrics we see the best field service teams track — and how to measure them without adding more admin work to your technicians' day.

The Three Metrics That Actually Matter

If you only track three things, track these:

1. Wrench Time — the percentage of a technician's day spent actually repairing or maintaining equipment (not driving, waiting, or filling out paperwork).
2. First-Time Fix Rate (FTFR) — the percentage of jobs completed on the first visit, without a callback.
3. Cost Per Work Order — total cost (labor + parts + travel) divided by completed jobs.

Everything else — utilization rate, jobs per day, hours logged — is noise unless you pair it with these three.

Wrench Time: Where Does the Day Actually Go?

Wrench Time is the most honest productivity metric in field service. It counts only the time a technician has tools in hand, working on the asset. Everything else — drive time, waiting for site access, hunting for parts, filling out forms — is excluded.

Most teams we work with at Serfy discover their wrench time sits somewhere around 30-40% when they first measure it. That means for every 8-hour shift, your technician spends roughly 3 hours doing the actual work you're billing for.

Where the Rest of the Day Goes

The biggest time sinks we see across 5,000+ companies on Serfy:

• Drive time between jobs. Poor route planning can eat 2+ hours per day.
• Searching for asset information. Technicians call the office to ask "what's the model number?" or "when was this last serviced?" — and then they wait.
• Paperwork. Hand-written forms, duplicate data entry, uploading photos after the fact.
• Parts runs. Arriving on-site without the right parts, then driving to a supplier.

How to Measure It

You need time tracking that separates work time from drive time automatically. In Serfy, every technician has per-task timers that break the day into distinct categories:

• Work time — started when the tech begins the repair
• Drive time — tracked from dispatch to arrival
• Pause time — with a reason code (waiting for parts, waiting for access, break)

Your KPI dashboard then shows wrench time as a percentage across your team. No spreadsheets, no end-of-day guesswork.

The trick is making this painless for the technician. If your tracking tool requires 15 taps to log a status change, your data will be garbage because nobody will bother. Serfy's mobile app — native on iOS and Android — keeps it to one or two taps: arrive, start work, pause (pick a reason), complete.

First-Time Fix Rate: The Metric Your Profit Margin Depends On

FTFR measures how often your technician solves the problem on the first visit. A low FTFR means you're paying twice for one job — and your client is waiting twice as long.

The real cost of a callback isn't just the second truck roll. It's:

• The labor cost of two visits instead of one
• The parts you carried for the second trip that sat in the warehouse on the first
• The job you didn't do because your technician was repeating yesterday's work
• The client frustration that makes contract renewal harder

What Drives FTFR Down

In our experience, most first-visit failures come from three things:

1. Wrong parts. The technician didn't know the asset model or history before arriving.
2. Wrong skills. A general technician was dispatched to a job that needed a specialist.
3. Incomplete diagnosis. The work order description was "AC not working" with no further detail.

How to Fix It

The solution is giving the technician everything they need before they leave.

Give them the asset history. In Serfy, every piece of equipment lives in a site-and-asset hierarchy — building → floor → room → equipment. When a technician opens a work order, they see the full service history, previous repair notes, photos from the last visit, and the asset's warranty status. No phone calls to the office.

Match skills to jobs automatically. Serfy's Smart Assignment scores every available technician across 7 factors — skills match (30%), GPS proximity (20%), truck stock (12%), availability (12%), urgency (10%), rating (8%), and workload balance (8%). The dispatcher sees exactly why each technician was ranked, and can override if needed. This means your chiller specialist gets the chiller jobs, not the general handyman.

Check truck stock before dispatch. If the job needs a specific part and technician A doesn't have it in their van but technician B does, Smart Assignment accounts for that. Serfy tracks multi-location inventory — central warehouses and individual service vans — so the system knows what's on each truck.

Cost Per Work Order: The Number Your CFO Cares About

Wrench time and FTFR are operational metrics. Cost per work order is the financial one — and it's where you connect technician efficiency to the P&L.

Cost per work order includes:

• Labor — actual hours × hourly rate
• Parts consumed — auto-deducted from truck stock when the technician logs usage in Serfy
• Travel — mileage and drive time
• Overhead allocation — whatever your finance team loads on

In Serfy, every task has a real-time job costing view: labor costs, parts, other expenses, revenue, gross profit, and revenue-to-cost ratio. You see profitability per job — not just per month.

Spotting the Expensive Patterns

When you track cost per work order over time, patterns emerge:

• Asset X at Client Y costs 3× the average. Maybe it's time for a replacement conversation, not another repair.
• Technician Z's average cost is 40% higher than peers. Dig in — is it callbacks (FTFR problem), slow work (training problem), or long drives (routing problem)?
• Mondays cost more than Wednesdays. Maybe your weekend emergency backlog is getting triaged poorly.

Serfy's asset lifecycle financials track maintenance cost, revenue, and margin per asset over its lifetime. You can spot cost outliers — equipment that's trending upward in maintenance spend — before they drain your budget.

The "Busy" Trap: Why a Full Schedule Doesn't Mean Efficiency

A technician who's booked solid all day sounds great on paper. But if they spend 40% of that time behind the wheel, they're less productive than someone at 80% capacity who's doing actual repairs all day.

Full schedule + low wrench time = your team is busy doing the wrong things.

This is where route planning matters. Serfy's route optimization resequences a technician's daily jobs to cut drive time between stops. Less windshield time, more wrench time — without adding more jobs.

Here's what separating these metrics looks like in practice:

Metric	Technician A	Technician B
Jobs per day	8	5
Schedule fill	100%	80%
Drive time	40%	10%
Wrench time	35%	60%
FTFR	62%	94%
Cost per work order	€185	€110

Technician B is far more efficient — and more profitable — despite closing fewer tickets.

How to Start Measuring (Without a 6-Month Project)

You don't need to overhaul everything at once. Here's a practical rollout:

Week 1: Baseline Your Wrench Time

Pick 5 technicians. For one week, have them use per-task timers (work, drive, pause). Don't change anything else — just measure. You'll likely be surprised at how much time goes to non-repair activities.

Week 2: Tag Technician Skills

In Serfy, you set up a skills catalog — specific certifications and competencies per technician (e.g., HVAC Level 3, fire suppression, specific equipment brands). This is the foundation for intelligent dispatch.

Week 3: Turn On Smart Assignment

Start routing work orders through Smart Assignment instead of manual dispatch. Let the algorithm match skills, proximity, and truck stock. Your dispatchers still approve every assignment — but now they have a ranked recommendation instead of a gut feel.

Week 4: Review Your First Data

Pull up your KPI dashboard. Look at:

• Average wrench time per technician
• FTFR per technician and per asset type
• Cost per work order trends
• Which assets generate the most callbacks

Set targets. Wrench time above 50%. FTFR above 80%. Then work backwards to remove the blockers.

What About SLA Compliance?

SLA compliance isn't an efficiency metric by itself — it's the consequence of good efficiency metrics. If your wrench time is high, your FTFR is strong, and your routing is tight, you hit your SLA windows naturally.

In Serfy, you set multi-tier SLAs per contract — normal and emergency reaction times, with target resolution windows. The system tracks every task against these targets and flags breaches. Your automation engine can escalate or reassign a task automatically if it's approaching an SLA deadline.

Over 2.4 million tasks have been completed through Serfy across 5,000+ companies in 8 countries. The teams that hit their SLAs consistently aren't the ones with the most technicians — they're the ones who measure and improve wrench time and FTFR month over month.

Stop Counting Tickets. Start Measuring What Matters.

The volume of completed work orders tells you your team is busy. Wrench time, FTFR, and cost per work order tell you your team is efficient.

The difference between those two things is the difference between a service operation that's profitable and one that's bleeding margin on every callback, every wasted drive, every technician waiting 20 minutes for someone to answer the phone at the office.

Start with the basics: track where the day goes, fix the most common callback causes, and watch your cost per work order drop.

Try Serfy free — set up your first work order in 30 seconds and see your team's real efficiency numbers.