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Work order management

Every job tracked from request to sign-off

A work order is the unit of account for a maintenance team. If it is a line in a spreadsheet, you know what was supposed to happen. If it is a record in a CMMS, you know who did it, when, with which parts, against which asset, and what it cost — which is the difference between a maintenance log and a maintenance function.

42%
less unplanned downtime
Offline
mobile execution in the field
Full
audit trail on every job

The lifecycle of a work order

Six stages, each of which is a place where work commonly goes missing in a manual system.

1. Intake

Requests arrive from operators, tenants, sensors, or the PM schedule and land in one queue with a consistent shape. A request raised by phone and never written down is the most common form of maintenance backlog.

2. Triage and priority

Each request gets a priority based on safety exposure, production impact, and asset criticality — applied as a rule rather than negotiated case by case, so the loudest requester does not automatically become the most urgent one.

3. Assignment and routing

Automated routing sends the job to the right trade, site, or individual, with SLA timers running from the moment the priority is set. Nothing waits in a queue for someone to notice it.

4. Execution in the field

The technician opens the job on mobile at the asset, with its history, manuals, and checklist attached. Readings, photos, parts used, and time spent are captured where the work happens rather than reconstructed later.

5. Verification and close

Completion is checked against the checklist before close, so a signed job means a finished job. Failed verification reopens the work rather than silently closing the loop.

6. The audit trail

Every state change, comment, part, and timestamp is retained against the asset. This is what makes cost-per-asset, failure patterns, and compliance evidence available later without a reconstruction exercise.

Why work orders stall

Backlog is rarely a capacity problem in the first instance. These four causes account for most of it.

The part was not staged

A job that reaches the asset before the part does becomes a second trip. Linking parts to the work order surfaces the shortage while the job is still being planned.

The scope was ambiguous

An instruction to check the pump produces a different job for every technician who picks it up. Templated tasks with explicit steps make the work repeatable and the outcome comparable.

It went to the wrong person

Manual assignment concentrates work on whoever is most visible rather than whoever is available and qualified. Rule-based routing distributes by trade, site, and load.

There was no way to update it from the floor

If the only way to progress a job is a desktop at the end of a shift, status is always hours stale, and the queue gets managed on out-of-date information.

Priorities and SLAs that hold up

Priority should be a formula, not an argument

Derive it from safety exposure, production impact, and asset criticality so the same situation always produces the same priority regardless of who raised it.

Start the clock at triage

An SLA measured from assignment hides the time a request spent unnoticed in a queue. Measuring from intake shows the delay the requester actually experienced.

Escalate on the clock, automatically

Escalation that depends on someone watching a queue is escalation that happens after the breach. Timer-driven escalation happens before it.

Report on backlog age, not just backlog size

A hundred jobs raised this week and a hundred jobs raised last quarter are entirely different problems, and only the age distribution distinguishes them.

Mobile execution, including where there is no signal

Offline-first, not offline-tolerant

MaintPro's field app is built to work with no connectivity: jobs, checklists, and manuals are available at the asset, and everything recorded syncs automatically when signal returns.

Capture at the asset

Photos, meter readings, and parts consumption recorded in place are accurate. The same data entered from memory at the end of a shift is an estimate, and it is the estimate your reporting inherits.

No training as a design requirement

Adoption is the binding constraint on every CMMS rollout. A field app a technician can use without a training session is the difference between a system of record and an expensive spreadsheet.

Common questions

More on pricing, security, and implementation in the main FAQ.

A work order is a documented instruction to perform a specific piece of maintenance on a specific asset. It records who requested it, who is responsible, its priority and due date, the steps to be performed, the parts consumed, the time spent, and the outcome — forming the permanent record of what was done to that asset and when.

A service request is the initial report that something needs attention, raised by an operator, a tenant, or a sensor. A work order is what the maintenance team creates after triaging that request: it carries the priority, assignment, scope, and schedule. Several requests about the same fault can converge into a single work order.

At minimum: the asset and its location, a clear description of the work, a priority and due date, an assigned owner, the steps or checklist to follow, and space to record parts used, time spent, readings taken, and the completion outcome. Anything less makes the record unusable for cost analysis or failure-pattern work later.

Prioritize on safety exposure first, then production or service impact, then asset criticality. Encoding this as a rule in the system rather than deciding case by case keeps prioritization consistent and stops urgency from tracking who asked most insistently.

Yes. MaintPro's mobile field app is offline-first, so technicians can open work orders, follow checklists, consult manuals, record readings, and close jobs with no connectivity. Everything syncs automatically once the device is back in signal, which matters in plant basements, lift shafts, and remote sites.

See it against your own assets

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