Restaurants · Hotels · Salons & Spas
The quiet workflow that protects your rating.
Mesa confirms every booking, reminds the day before, and calls after a visit that looked like it went badly.
What it finishes
Every booking confirmed and reminded, and the visit that went wrong gets a call before the review gets written.
The chain
Where the call goes, step by step.
Each step names the system it touches.
Step 1 of 5: Confirms the day the booking is made
A text with everything on it: date, time, party size, deposit terms, where to park. Replying to change it updates your diary rather than landing in a mailbox nobody reads.
Step 2 of 5: Reminds before it matters
A message or a short call the day before, with a one-tap way to cancel. A cancellation you get on Thursday is a table you sell on Friday.
Step 3 of 5: Refills the gap
When a slot is released, your waitlist is contacted while the slot is still sellable. An empty chair costs the same wage as a full one.
Step 4 of 5: Calls after the visit that went wrong
A walked table, a long ticket time, a complaint logged at the pass. The guest gets asked in person, in the window where the answer is still a conversation instead of a rating.
Step 5 of 5: Logs what came of it
What was said, what was offered, whether it closed. By Monday the pattern is visible, and it usually points at one shift rather than at the whole week.
Inside the workflow
The three parts operators ask about.
Covers back on the floor
The point is not the message. It is the cancellation arriving early enough to resell.
Recovery before the review
A public review is the expensive version of a complaint you were never told about. Reach the guest first.
Every message in your voice
Wording, timing and tone are yours, the same on Sunday night as on Tuesday morning.
What we will measure
The scoreboard, published before the score.
Mesa has no results to show you yet. This is what the workflow reports from week one.
No-show rate on reminded bookings against unreminded ones.
Cancellations received early enough to resell.
Share of released slots refilled from the waitlist.
Complaints resolved on the recovery call without escalation.
Review volume and average rating over a full quarter.
No Mesa performance figure appears anywhere on this site yet. When one does, it arrives with the sample, the method and the date beside it.
The research
Numbers you can check.
None of these are ours. Every figure links to the study it came from.
2.33%
average restaurant no-show rate
Busier venues run 3.17%. The widely-quoted 30% figure is a misreading of a different question.
43%
rank transparency as the single biggest AI trust factor
About three times any other factor. 44% say AI goes too far when you cannot easily reach a person.
58%
of calls go unanswered
While 63% of people still prefer the phone to reach a venue.
Questions
What operators ask.
How does it know a visit went badly?
From signals you already generate: a voided ticket, a walked table, a long ticket time, a complaint logged at the pass, a low internal survey score. You choose which ones trigger a call.
Are you asking guests to leave public reviews?
No. It asks the guest how it went and routes the unhappy ones to a person. Steering only happy guests towards public review platforms breaks the rules on most of them and we do not build it.
Text or call?
Confirmations and reminders go by text because that is what people read. Recovery goes by call, because a person who has had a bad night deserves a voice and usually tells you more.
Hear it answer your phone.
Twenty minutes. We bring up a workflow on your menu or your rooms, call it together, and you decide whether it is any good.
