Breezeway how-to
How to read Breezeway task timing data
The timing fields look like logistics. Read them right and they are a quality signal, a staffing signal, and a quiet fraud detector all at once.
Short answer
Breezeway's reporting lets you analyze task history, including on-time completion, task duration, and property readiness. Read each number against that property's own normal, not a global average, and three patterns do most of the work: a duration far below normal means rushed or faked, a duration creeping up over time means a struggling cleaner or a harder property, and slipping on-time completion means a scheduling problem. Manage the exceptions those numbers surface, not every record.
The three numbers, and what each tells you
According to Breezeway, its reporting surfaces task history across these dimensions. Here is how to actually read them.
Task duration
How long the clean took from start to completion in the app.
Read it against the property's normal. A three-bedroom that usually runs three hours and closed in forty minutes was not cleaned to standard. Duration far below normal is the single most useful red flag you have.
On-time completion
Whether the task finished before the deadline tied to the next check-in.
Watch the trend, not the one-off. A single late clean is weather or traffic. A cleaner or property slipping on-time week over week is a staffing or scheduling problem you can fix before it hits a guest.
Property readiness
Whether the property was actually ready by the time the guest could arrive.
This is the outcome that matters. Duration and on-time completion are inputs; readiness is the result. Persistent readiness misses on the same property point to a structural issue, too-tight back-to-backs, not enough turn time.
The patterns worth acting on
Timing data earns its keep when you stop reading rows and start reading shapes.
Duration far below normal
Rushed or faked. Pair it with the photos: if a full set of turnover photos is timestamped within seconds of each other, that is a batch upload from the camera roll, not a room-by-room walk.
Duration creeping upward
A cleaner who is struggling, or a property that has genuinely gotten harder (new furniture, more amenities). Either way it is a coaching or scoping conversation, not a guess.
On-time rate slipping
Scheduling or staffing strain. Often the same few properties or the same day-of-week. Fix the schedule, not the person.
Readiness misses clustering
A structural turn-time problem on specific properties. The answer is usually more buffer between bookings, not faster cleaning.
What timing data can't tell you
Timing answers "when" and "how long." It cannot answer "how well." A clean can take exactly the normal three hours and still miss the spot behind the toilet, leave the wrong pillow count, or photograph only the staged corners. Duration is a strong proxy for effort and a useful fraud signal, but it is not a measure of quality. For that you have to look at what the turnover actually produced, which is where photo review comes in.
RapidEye reads the photos the way timing reads the clock
Timing data tells you a clean was suspiciously fast. RapidEye tells you what the photos actually show, comparing every turnover against the property's baseline to catch the misses and reused images that a normal-looking duration can hide. It runs inside your existing Breezeway workflow, so timing and quality finally sit side by side.
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Common questions
What timing data does Breezeway track?
Breezeway's reporting lets you analyze task history, including on-time completion, task duration, and property readiness. You can see when a clean started and finished, how long it took, whether it beat the deadline tied to the next check-in, and whether the property was ready on time.
What does an unusually fast cleaning time mean?
A task duration far below a property's normal is a quality flag, not a win. A three-bedroom that usually takes three hours and was marked complete in forty minutes was almost certainly not cleaned to standard. The same signal exposes photo shortcuts: a full set of photos timestamped within seconds is a batch upload, not a room-by-room walk.
How do you use task timing data to manage cleaners?
Read each metric against the property's own baseline, since a studio and a five-bedroom have different normals. Watch for durations far below normal (rushed or faked), durations creeping up (a struggling cleaner or harder property), and slipping on-time completion (a scheduling problem). Manage the exceptions, not every record.
Sources
- Breezeway, "Insights & Reporting" (analyze task history including on-time completion, task duration, and property readiness)https://www.breezeway.io/insights-reporting