From 90% to 1%. The value of maintenance, made visible.

An elevator nobody could call

An elevator in an office building kept making strange noises and shaking as it ran — yet it had never actually broken down. How serious was it? Did any parts need replacing? Nobody could say.

Without a shared language for judging risk, neither side could move the other, and the stalemate dragged on.

What the data said

Once the elevator was connected to Dr. Elevage, round-the-clock monitoring produced the first measurement-based answer — and it was worse than anyone had assumed:

One bearing, and the numbers turned around

With data on the table, the argument was over. The maintenance team replaced the car-top sheave bearing, and the abnormal share dropped immediately to under 1% a day — fewer than one trip in a hundred, against almost every trip before.

Screenshots from the Dr. Elevage mobile app and audio analysis; recorded data, unedited; building and unit identity withheld. Note the vertical scales: ±2.3 before repair, ±0.8 after.

Making the value of maintenance visible

Before the repair, this elevator’s abnormal share was as high as 90% a day. After one part was replaced, it fell to under 1%. A cliff-edge drop like that makes the value of the maintenance work obvious to everyone — no one has to take anyone’s word for it.

For a maintenance company, this is usually the hardest thing to prove: the customer sees an invoice and a signed sheet, and good work looks the same as average work. Before-and-after data lets the team that did the job well say so with numbers — in the renewal conversation, in the bid, and in the report the manager passes up the line. For management, every spend comes with the evidence that it worked.