A modern front office system will happily show you fifty numbers on one screen, color-coded, updating live, and most of them will not change a single thing you do all shift. You can stare at a dashboard for ten minutes, feel busy and informed, and walk away having made no decision at all. That is the quiet trap of a good-looking dashboard. It confuses knowing a number with needing it.
So I stopped asking "what can this screen show me" and started asking a harder question of every metric on it. Does this number change what I do in the next hour or the next shift? If the answer is yes, it belongs on the dashboard. If the answer is no, it is history, and history belongs in a report I read once, not a screen I glance at all day. Everything that follows is the short list that survives that test, grouped the way I actually use it: the operational numbers that run today, the money numbers that set rate and staffing, and the people numbers that shape coaching.
The one test for every metric
Before the list, the test itself, because it is the whole point. A dashboard is not a place to admire information. It is a place to decide. A metric earns a spot only if you can name the action it would trigger.
Occupancy sits at ninety percent with arrivals still coming? That triggers a staffing and a walk decision. A guest satisfaction score dropped on the overnight? That triggers a conversation. Those are dashboard numbers, because each one points at something you would do differently. A number you cannot act on, however interesting, is a distraction dressed up as insight. When I audit a dashboard, I delete anything I cannot tie to a decision, and the screen gets shorter and far more useful every time.
The house count is the number under everything
If I could keep only one number on the screen, it would be the house count. Rooms sold, rooms left to sell, arrivals due, departures expected, stayovers. Everything else on a front office dashboard is downstream of this.
The house count tells you what kind of day you are about to have before it happens. A comfortable house means room to say yes to upgrades, early arrivals, and late checkouts. A tight house means every one of those decisions costs you a room you might need, and a sold-out house means you are managing scarcity all day and possibly walking guests by night. Reading it well, and reading it early, is what separates a calm shift from a scramble, which is the whole subject of reading the house count. I want this number in front of me at the start of every shift and updating as the day moves, because it is the one that quietly governs all the others.
Arrivals: the shape of your day
The house count tells you how many. The arrivals view tells you who, when, and what they need, and that is what turns a number into a plan. Arrivals remaining, VIPs due, special requests, known ETAs, early arrivals to pre-block.
This is the metric that decides how the next few hours actually run. It tells you when the rush will land, so you staff the desk to meet it instead of getting caught flat. It tells you which rooms to pre-block for the guests who cannot be moved, the accessibility request, the anniversary, the top-tier loyalty member. It flags the VIP whose arrival deserves a plan rather than a reaction. I have written a whole piece on why the arrivals report runs your whole day, and on a dashboard the live version of it is the difference between working ahead of the day and chasing it. A house count without an arrivals view is a headline with no story under it.
The money line: ADR, RevPAR, and pickup
The operational numbers keep the day running. The money numbers tell you whether the day is worth what it should be, and whether to hold your rate or open it up. Three earn their place.
Average daily rate, or ADR, is what your sold rooms are actually going for. Occupancy is how full you are. Multiply the two and you get RevPAR, revenue per available room, which is the single figure that tells you whether you are winning on volume, on rate, or on both at once. If ADR and RevPAR are unfamiliar as a pair, RevPAR and GOP explained lays out why RevPAR is the number that keeps volume and rate honest against each other, so a full house at a giveaway rate cannot masquerade as a good day.
The one I watch most closely is pickup, also called pace: how many rooms booked today, and for which future dates, compared to where you expected to be. Pickup is the leading indicator. It tells you whether demand for a coming night is running hot or soft while you still have time to react, by holding rate when you are ahead or opening availability when you are behind. Occupancy and ADR tell you where you are. Pickup tells you where you are heading, which is why it drives more decisions than either. All three, and how they read together on a single sheet, are exactly what I walk through in reading a daily revenue report. On a dashboard, keep them together, because no one of them means much alone.
Staffing against the arrival curve
Here is a number most front office dashboards bury, and it might be the one that changes the most about a shift: arrivals by hour laid against people on the desk by hour. Not total arrivals, the shape of them across the day.
Two hundred arrivals spread evenly is a calm day. The same two hundred landing in a three-hour window is a fire drill, and the only defense is having built the schedule to match the curve before it hits. A dashboard that shows the arrival curve against your coverage lets you see the mismatch while you can still fix it, by moving a break, calling in a hand, or opening a second bank of terminals for the peak. That planning is the heart of staffing the desk to the arrival curve, and the live view of it is what keeps a predictable rush from turning into a lobby full of waiting. If your dashboard shows arrivals only as a daily total, you are seeing the volume and missing the timing, and the timing is what breaks a desk.
The service signals
The last group is the people side, and these numbers change coaching decisions rather than operational ones. Guest satisfaction scores, response and resolution times, open service issues, and upsell capture.
I do not watch these hour by hour the way I watch the house count. I watch them for pattern. A satisfaction score that dips on one particular shift points at something worth a conversation with that team. Response times creeping up point at a desk that is understaffed or a process that has gotten sticky. Open service issues that are not closing point at a handoff breaking down between shifts. Upsell capture, the share of eligible arrivals who get offered and accept an upgrade, tells you whether the sales habit is alive or has quietly gone dormant. These are not numbers you react to in the moment. They are the ones that tell you where to spend your coaching attention next week, which over time changes the operational numbers at the top of the list.
What to leave off the screen
Just as important as what goes on the dashboard is what stays off. A few kinds of numbers look useful and are not.
Vanity metrics, the ones that only ever go up and never trigger a decision, like a running count of total guests served. Nice for a year-end slide, useless at 3 p.m. Lagging data that arrives too late to act on, like a satisfaction survey from a stay three weeks ago; that belongs in a monthly review, not a live screen where it just adds noise. And any number that is there simply because the system offers it. The system will offer you dozens. The discipline is refusing the ones you cannot act on, because every extra number makes the ones that matter harder to see. A crowded dashboard is not a thorough one. It is a slow one.
How to actually use it
A dashboard only pays off if you look at the right numbers at the right rhythm, not all of them all the time. The operational numbers, house count and arrivals, I want live and glanced at through the shift, because they change hour to hour and so do the decisions they drive. The money numbers, ADR, RevPAR, and pickup, I read at set points, after night audit closes the prior day, again midday, and before I hand off, because those are the moments a rate or availability decision actually gets made. The people numbers I review on a weekly cadence, looking for pattern rather than reacting to a single data point.
And the numbers that matter get said out loud, not just displayed. A dashboard reaches one person staring at a screen; the shift learns what to watch for when it is named at preshift where the day begins. "We are ninety-two percent tonight with forty arrivals still out, so protect the kings" turns a number on a screen into a plan the whole desk is running.
The takeaway
A front office dashboard is not there to make you feel informed. It is there to help you decide, so build it around the handful of numbers that actually change what you do and be ruthless about leaving the rest off. Watch the house count and arrivals live, read the money line at the moments decisions get made, and check the service signals for pattern over time. Do that and the screen earns its place on the desk. Fill it with everything the system can show you and it becomes one more thing to look at while the day gets away from you.
Questions from the desk
What metrics should a front office dashboard show?
The handful that change what you do today: the house count (rooms sold, rooms to sell, arrivals, departures), the arrivals view with VIPs and special requests, the money line of ADR, RevPAR, and pickup, staffing laid against the arrival curve, and a few service signals like satisfaction, response times, and upsell capture. If a number does not trigger a decision, it belongs in a report, not on the dashboard.
What is the most important front office metric?
The house count, because nearly every other decision flows from it. Rooms sold against rooms left to sell, with arrivals and departures, tells you whether you have room to say yes to upgrades and late checkouts or whether you are managing scarcity and may have to walk guests. Read it early and the whole shift gets easier to plan.
What is the difference between occupancy, ADR, and RevPAR?
Occupancy is how full you are, ADR is the average rate your sold rooms are getting, and RevPAR is the two multiplied together, revenue per available room. RevPAR is the honest one, because it stops a full house at a giveaway rate from looking like a good day and rewards the balance of rate and volume rather than either alone.
How often should you check a front office dashboard?
By rhythm, not constantly. Operational numbers like the house count and arrivals should be live and glanced at through the shift. Revenue numbers get read at set points, after night audit, midday, and before handoff, when rate and availability decisions are made. Service and satisfaction numbers are reviewed weekly for pattern rather than reacted to one point at a time.