Thirty minutes a room: a norm nobody can defend.

Ask five housekeeping managers how long a room takes and you will get one answer: about thirty minutes. Ask where the number comes from and the answers stop matching. It was in the spreadsheet when they arrived. It is what the brand assumes. It is what the last contractor quoted. It is what everybody uses.

Meanwhile, the same number is at the centre of the hardest labour dispute in the industry. In Spain, las kellys have spent a decade arguing that boards of twenty-five to thirty-five rooms are incompatible with health. In German-speaking countries the fight is over Akkord-style piece pay versus hourly pay, and whether a per-room rate is just time pressure with a friendlier label. In several US cities the answer arrived as legislation, with statutory square-footage limits and penalty pay above them.

All of it is fought over a figure that, in most properties, nobody has ever measured.

Why the flat norm is a fiction

A single minutes-per-room figure assumes rooms are interchangeable. On a real floor, the variation between two rooms on the same board is larger than the gap anyone is arguing about.

Some of these are known in advance and could be planned for — room type, bed count, departure or stayover. Others only reveal themselves when the door opens. And the last group is the one flat norms ignore entirely: the minutes that are not spent in any room at all. Walking, restocking, waiting for a late checkout to be released, carrying linen to a floor that ran out.

That non-room time does not disappear when it is left out of the calculation. It comes out of the room time — which is precisely how a board that looks reasonable on paper turns into a shift that ends with two rooms rushed.

What measured minutes look like

Hotel IQ measures the turnover itself. A Bluetooth beacon identifies the room the moment the housekeeper walks in; motion sensors on a watch or phone recognise the cleaning work; the session opens, records and closes without anybody entering anything. What comes out is not an estimate or a self-reported time — it is the actual duration, second by second, per room, with the phases inside it.

Once a few weeks of that data exist, the flat norm falls apart in a useful way:

Illustrative example — the shape of the finding, not results from a specific property.

The pattern above is the one that shows up again and again: the average is roughly right, and almost no individual room is. Which means the average is fine for a budget and useless for a board — and a board is what a person actually has to clean.

What both sides get out of it

This is the rare number where measurement helps everyone in the argument, because everyone is currently guessing.

• The hotel can staff against real demand instead of a flat multiplier, and stop discovering at 2 p.m. that the board was impossible.
• The room attendant gets a board built from how long rooms actually take — and evidence when it is too long, which is worth more than any amount of insisting.
• The contractor can price by segment instead of averaging the risk, and defend a rate increase on heavy rooms with data rather than volume.
• The finance team gets a cost per turnover that reconciles with reality, per room type, rather than a single blended figure.

It also removes a legal exposure that quietly grows in the background. Where working-time claims arise — unpaid minutes at the end of a shift, breaks that were worked through, statutory workload caps — the property either has an objective record of what happened, or it has assignment sheets and memory. Only one of those is worth anything when it is examined.

If you want to see how your own figures play out before you measure anything, our rooms per shift calculator does the arithmetic — shift length, breaks, travel time and minutes per turnover — and shows every step of the working.

Rebuilding the norm in four steps

• Measure for two to four weeks without changing anything. Any change during measurement contaminates the baseline — and a rushed baseline becomes next year's unfair norm.
• Segment before averaging. Departure versus stayover first, then room type, then the conditions that matter in your property — cots, long stays, kitchenettes, connecting rooms.
• Set a target per segment, with a band. A median and a realistic upper bound beat a single number, because the upper bound is what protects the person on a bad day.
• Review monthly, in public. Show the team the numbers their own work produced. A norm the floor has seen derived is a norm the floor will argue with — which is exactly what you want, once the arguing is about data.

Effort, not just minutes

Duration is only half of workload. Two thirty-minute rooms are not equal if one is a stayover refresh and the other is a departure with four beds stripped and a bathroom scrubbed on hands and knees.

On the smartwatch edition, Hotel IQ also captures steps, body load and work tempo across the shift, and flags fatigue drift when the pattern of movement changes as the day wears on. Used properly, that is not a performance signal — it is a scheduling one. It tells you when the heavy rooms are stacked at the end of a board, and whether the same person keeps getting the hard floor.

Hotel IQ measures the work, not the person: no cameras, no microphones, no individual performance ranking, and a GDPR mode on every report. In a workload conversation that constraint matters more than usual — the moment this data becomes a scoreboard, it stops being usable evidence about the job.

Where to start

Hotel IQ Mobile is enough to settle the timing question: it runs on the phone the housekeeper already carries, needs no hardware, and produces real minutes per room from day one. Run it for a month before you touch anybody's board.

Hotel IQ Watch adds the phase detail and effort metrics — useful when the argument moves from how long does a room take to which rooms are actually heavy.

See what gets measured: Explore Hotel IQ →
Related reading: We measure the work, not the people →