The Schedule Is a Forecast
A day's schedule is a prediction that starts decaying at the first job. What matters is how quickly it gets corrected.
Most scheduling conversations treat the schedule as a plan. It is closer to a forecast. It is built the night before from assumptions about travel, duration and what will be found on arrival, and the first job of the day starts testing all three.
That is not a failure of scheduling. Nobody can know that the access code has changed or that the part on the van is the wrong revision. The question is not how to build a schedule that survives the day. It is how quickly the schedule notices that it has not.
The gap between what happened and what is known
On most sites, the field knows the truth well before the office does. A job ran ninety minutes long, a customer was not home, a second visit is now needed. The technician knows all of this immediately. The scheduler finds out when the notes come in, which is often at the end of the day, by which point the three jobs that could have been resequenced have already been missed.
That lag is the single most expensive thing in the operation, and it does not show up as a line item anywhere. It shows up as overtime, as jobs pushed to tomorrow, and as a call to a customer that begins with an apology.
Duration estimates are data you already have
Ask how long a particular job type takes and you will usually get a number that came from experience rather than records. It is often a good number. It is rarely a current one, and it is almost never broken down by the things that actually drive it — site type, equipment age, whether the last visit was completed first time.
The organisations that get this right are not running anything exotic. They are recording actual durations against job types for long enough to notice that one category consistently runs forty per cent over, and then scheduling that category honestly. The schedule stops being optimistic, and the day stops falling behind by lunchtime.
Make the correction cheap
If updating a job’s status takes a technician six taps and a signal, it will happen at the end of the day in a car park. If it takes one, it happens on site.
That is most of the work. Not a better algorithm — a shorter path between what the field knows and what the office can act on. Once the feedback loop is measured in minutes rather than hours, resequencing becomes a normal part of the day rather than a recovery exercise, and the forecast gets to be wrong without the day being lost.
The schedule starts decaying at the first job. What matters is how fast it gets corrected.
See what a short feedback loop between the field and the office looks like in practice — we will walk you through Workvue on a live schedule.
Bring us the problem behind the project.
If any of this maps onto something you are working through, a short conversation is usually enough to tell whether we can help.