A single entry point
Client requests, internal incidents and preventive tasks all land in the same queue with their priority and owner.
Guide
Work isn't lost while it's being done
It's lost before and after: in the time it takes a report to turn into an assigned job, and in the time it takes finished work to reach the system. That time doesn't show up in any report, and that's where the inefficiency lives.
The order cycle, measured
A work order goes through five moments: someone detects something, someone decides who does it and when, someone carries it out, someone records it, and someone closes it. In most organisations the third one is well handled — technicians do their work — and the other four depend on people carrying information around. Measuring how long each stage takes is usually revealing: execution time is rarely the problem, and yet it's the only thing that gets looked at when more productivity is demanded from the team.
Where the time goes
Five leaks that show up in almost every operation.
- The report arrives through a channel that isn't the system and waits for someone to pass it along.
- Assignment depends on one person carrying the team's workload in their head.
- The technician goes out without the equipment's history and discovers on site what was already known.
- The report gets filled in at the end of the day, once the details have already blurred.
- Closing waits for someone to transcribe, review and complete what's missing.
What changes when the workflow lives inside the system
It's not that work happens faster: it's that there are no more waits between steps.
Assignment is visible
Each technician's workload, shifts and absences on the same screen used to distribute work.
The technician arrives informed
With the asset's history, documentation and checklists. Half of second visits get avoided this way.
It's recorded where it happens
Hours with a timer, materials against the warehouse, and a signature on site. No later transcription.
Closing is a status
With its own behaviours: notify, send the PDF, lock editing, push to the ERP. No one has to remember.
What you can measure afterwards
Once the workflow lives in the system, three numbers appear that almost no one has, and they explain quite a lot. The first is the time between something being reported and being assigned: if it's high, the problem is organisational, not headcount. The second is the time between assignment and closing, which mixes execution and waiting and is worth separating, because a wait for materials and an afternoon of work don't get fixed the same way. And the third is the proportion of orders that get reopened or need a second visit, which tends to be the best indicator of whether the technician is arriving with the information they need.
Shall we look at it with your way of working?
Leave your details and we will get in touch to see whether we fit. No commitment, no lock-in period.
A warning about efficiency
It's worth not confusing speed with efficiency. A workflow that closes orders very fast because the report gets filled in with two words isn't efficient: it's shifting the cost further down the line, to when someone needs to know what was done and can't find it. The reasonable goal isn't to cut recording time to zero, it's for recording to cost just enough and happen while the information is still accurate. One minute on site is worth more than five in the office two days later.
Batching work is the biggest lever and the least used
Of all the ways to gain efficiency in maintenance, the one that pays off most has nothing to do with working faster: it's about not going to the same place twice. In an operation with sites spread out, travel and preparation weigh as much as execution, and that cost doesn't depend on the number of jobs but on the number of trips. Batching requires being able to see, at once, what's pending at a site, what's scheduled there in the coming weeks, and what's on the way, and deciding from that what to bring forward and what to combine. It's a decision that can only be made if the information is gathered together; when every report is handled separately in the order it came in, you end up going to the same building three times in a month, and none of those three visits looked avoidable at the time.
The indicator that sums up everything else
There's one figure that concentrates almost all the inefficiencies of a maintenance operation: what percentage of interventions get resolved on the first visit. When it's low, the cause is never the technician. It's that they went out without knowing what they were dealing with, because the report didn't describe the problem; or without the part, because no one knew the equipment's model; or without access, because no one notified the site; or without the history, because it was in a filing cabinet. Every second visit costs a full trip, and its cost doesn't show up in any budget line, which makes it the most expensive and most invisible inefficiency there is. The interesting part is that it's easy to measure — just count how many orders generate a second intervention for the same reason — and its trend says more about the health of the workflow than any hours report.
Frequently asked questions
How much of an intervention is actually execution?
Less than you'd assume, and that's the finding that surprises people most when it's measured. Between the report and the close there's waiting to be assigned, travel, searching for information, waiting for parts, waiting for approval and waiting for administrative closure. Execution is usually a fraction of the total, and it's the only part anyone tries to speed up when more productivity is asked of the team.
Where do I start if I want to cut cycle time?
By measuring which status each order spends the most time in, which is almost never where you'd assume. In some operations the bottleneck is assignment, in others it's waiting for parts, and in many it's administrative closing, with orders executed weeks ago that no one closed. Acting on the wrong status costs effort and doesn't move the result.
Where is the most time lost in a work order?
Almost never in carrying it out. It's lost in the stretch between something being reported and assigned, and in the stretch between execution and recording. Both depend on people carrying information around.
Is closing orders faster always better?
Not necessarily. A fast close with a two-word report shifts the cost further down the line, to when someone needs to know what was done. What needs cutting is the wait, not the record.
What indicators measure workflow efficiency?
Three: time from report to assignment, time from assignment to close separating execution from waiting, and the proportion of orders needing a second visit.
Why does it matter that the technician sees the history?
Because a good share of second visits happen from arriving without knowing what was already known: what was done last time, what part was used, or what was left pending.
Measure your workflow
In the demo we walk through a real intervention and calculate how much time falls outside execution.