Cleaner Analytics

You already know who your best cleaner is. Can you prove it?

Every operator carries a private ranking of their cleaners in their head. The problem is what it is built from: the complaints that happened to reach you, the turnover you happened to walk, the checklist exports that say every task was completed because the cleaner said so. When it is time to coach someone, praise someone, or have a hard conversation with a cleaning vendor, a gut feeling and a stack of ticked checkboxes are what you bring to the table.

RapidEye already inspects every turnover your cleaners submit: it watches the walkthrough video, reviews the photos, and since August it verifies every checklist item against the footage. Which means the honest record of each cleaner's work already exists, one turnover at a time. Cleaner Analytics is that record rolled up by person: open it and the ranking in your head becomes a screen you can act on, and hand to someone else.

What is on the screen

Every cleaner, scored by guest-ready rate

Each cleaner gets a row with turnovers completed and the share of those turnovers that came back guest-ready, for any date range you pick. You see at a glance who is carrying your standards and who is slipping.

Example rows with demo data. The guest-ready rate sits next to how consistently each cleaner records, because a low rate and a missing video are different problems with different fixes.

Click a cleaner, see what is behind the misses

A low score on its own is just a number to argue about. Open a cleaner's breakdown and it becomes specifics: inspections, properties serviced, critical findings per inspection, and the issue types that keep recurring. "Your rate is slipping" turns into "trash handling has come up in six of your last ten turns," which is a coaching conversation someone can actually act on.

Recording habits, tracked separately

Walkthroughs recorded, missing videos, and videos too short to review are counted on their own. A cleaner who rushes the walkthrough is a different problem from one who misses the stovetop, and the screen keeps them apart. It also protects your cleaners: a good cleaner with a bad recording habit looks worse than they are, and this view shows you which one you are dealing with.

Labels you can act on, applied fairly

Consistently strong cleaners are marked Top performer. Cleaners falling behind the rest of the team are marked as possibly needing coaching. And cleaners with only a few turnovers are marked limited data instead of being judged on a sample too small to mean anything, which matters if you have ever watched a new hire get written off over one bad week.

A PDF export for the conversations that need one

Any view exports as a PDF for the date range you choose: an owner update, a quarterly vendor check-in, a performance review. A property view sits alongside the cleaner view, so before you attribute a recurring problem to a person, you can check whether it actually follows the home.

Why this is not another scorecard

Cleaner scorecards are not a new idea. What they have always been built from is: task completion counts, ticked checklist items, and the occasional manager rating. All three are versions of the same thing, the cleaner's own report, averaged. Cleaner Analytics differs on the input, and everything else follows from that.

Built on what was inspected, not what was checked off

Every number on the screen comes from RapidEye's inspection of the walkthrough videos and turnover photos themselves. The score reflects what the home actually looked like when the cleaner walked out, not what got ticked on the way out the door.

Every turnover, not a sample

A manual inspection program sees the homes an inspector had time to visit, and cleaners know which homes those tend to be. RapidEye reviews every walkthrough and photo set it receives, so each cleaner's record covers all of their work, not the spot-checked slice.

Nothing new for your cleaners, nothing new for you

Cleaners keep recording the walkthroughs and photos they already take. There is no separate app, no rating step, and no scoring for managers to fill in. The analytics are a byproduct of inspections that were already happening.

Coaching and recognition on the same screen

Most quality tooling only surfaces problems, so cleaners only ever hear from it when something went wrong. The same view that flags who needs help surfaces who is quietly carrying your standards, so praise is as easy to hand out as feedback. The cleaners you most want to keep are the ones this screen finally makes visible.

Who it is for, and how it works

• Vacation rental operations managers running turnovers across dozens to hundreds of homes
• Housekeeping and inspection leads who manage in-house cleaners or outside cleaning vendors
• Property management owners who report turnover quality to homeowners
• Hotel housekeeping teams tracking room-readiness across staff

There is nothing to set up. Cleaners finish a turnover and record their walkthrough or upload their photos as usual, RapidEye inspects each one and produces a report, and Cleaner Analytics rolls those reports up by cleaner. Managers open Analytics in the RapidEye dashboard whenever they want the picture. If you want to see your own team's numbers this way, book a demo and Sam or Rohan, RapidEye's co-founders, will walk you through it on your own turnovers.

Key facts

Frequently asked questions