SLA · operations

The same trip can take 20 minutes or 52

Travel time in Mexico City more than doubles depending on the hour. Why waydot recalculates each SLA's risk throughout the day instead of measuring it at month end.

By The waydot team · · 3 min read

Almost every field operation measures SLA the same way: tickets on time over total tickets, once a month. It's a good number for the board and a useless one for the dispatcher, because it arrives when nothing can be done anymore.

The underlying problem is that arrival time isn't fixed. Take a 10 km trip in Mexico City, using figures from the TomTom Traffic Index 2025:

  • The year's average was 34 minutes and 29 seconds.
  • At rush hour, the average speed was 13.5 km/h, or about 44 minutes for those 10 km.
  • TomTom reports an average congestion level of 75.9%, which measures how much longer a trip takes than in free-flowing traffic. On empty streets, the same trip would take about 20 minutes.
  • The worst day of the year was Wednesday, May 28, 2025. At 3 p.m., congestion reached 167%. Applied to that trip, that's about 52 minutes.
Estimated time to drive 10 km in Mexico City The same trip can take 2.7 times longer at the worst hour of the year than in free-flowing traffic.
Minutes
Free flow19.6 min
2025 average34.5 min
Rush hour44.4 min
Worst hour of the year52.3 min

TomTom Traffic Index 2025, Mexico City. Free flow, rush hour and worst hour calculated by waydot from the published congestion levels and speeds.

If your contract promises arrival within two hours, a technician leaving at 11 a.m. and one leaving at 3 p.m., both with the full two hours on the clock, don't carry the same risk. A monthly average can't tell the two apart.

The cost of a breach doesn't end with the penalty

Aquant's 2025 report, based on more than 600,000 service records, found that when the first visit fails it takes two additional visits on average, and resolution stretches by 14 days. The best-performing organizations resolve in 3 days; the worst, in 11. Arriving late is often the first domino: the technician arrives rushed, without time to diagnose properly, and the job gets rescheduled.

The decision: recalculate risk while there's still time

That's why waydot doesn't wait for month end. For every open ticket it compares two things, all day:

  1. The time left until the SLA deadline.
  2. The estimated arrival of the assigned technician, counting what's left of their current visit and the drive with traffic at that hour.

When the estimate gets close to the deadline, the ticket is at risk. It isn't a yes or no: risk rises as the margin shrinks, and the board ranks tickets from highest to lowest risk. Because traffic changes, the calculation repeats; a ticket with plenty of room at 11 can be at risk by 2.

An alert with 5 minutes left only helps you prepare an apology. With 90 minutes you can still reassign to someone with more margin, tell the customer the new time before they call, or escalate along the contract's chain. Each of those actions is recorded on the ticket, which carries a lot of weight in a reconciliation with the customer if the SLA is breached anyway.

Escalation chains per contract

An ATM out of service at a bank branch isn't the same as an office printer. Escalation chains are defined per contract and priority: who is notified, after how long and through which channel. The common mistake is escalating to everyone, every time; within weeks nobody reads the alerts.

Three indicators to know it's working

  • Share of tickets that went into risk and were still met.
  • Minutes of warning before the deadline when the risk was detected.
  • Breaches with no prior alert. These should trend to zero; if not, information is missing, usually badly estimated job durations.

Sources

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