A couple of hours after a reservation, the bot checks in automatically — "great," "okay," or "not great" each lead somewhere genuinely different, so a bad experience reaches the manager immediately instead of turning into a public review first.
A TemplateTrigger fires automatically off the reservation's end time, then a three-way Quick Reply split routes guests into a review request, general feedback capture, or manager escalation for complaints — all three reconverge at tagging and a closing message.
START
Trigger
Fires On (Required)
2 hours after the reservation time (CRM booking record)
55/200
Quick Reply
Header (Optional)
Image

OR
Paste image URL…
Body Text (Required)
Thanks for dining with us! How was your experience?
51/1024
Buttons (Max 3)
Great
5/20
Okay
4/20
Not Great
9/20
IF GREAT
Text Input
Prompt (Required)
Wonderful! Would you mind leaving us a quick review?
52/1024
Set Tag
Tag (Required)
happy-guest
11/60
IF OKAY
Text Input
Prompt (Required)
Thanks for letting us know — what could we have done better?
60/1024
Team Assignment
Assign To (Required)
Restaurant Manager
18/100
IF NOT GREAT
Text Input
Prompt (Required)
We're sorry to hear that. Could you tell us what went wrong?
60/1024
Team Assignment
Assign To (Required)
Restaurant Manager (Urgent)
27/100
Set Tag
Tag (Required)
feedback-followup-done
22/60
Quick Reply
Header (Optional)
Image

OR
Paste image URL…
Body Text (Required)
Thank you for the feedback — we hope to see you again soon! 🍽️
63/1024
Advanced settings
The assistant reads dissatisfaction directly from how a guest describes their visit and can de-escalate in the moment — offering a make-good — rather than a guest just tapping "Not Great" and waiting for a manager callback.
Restaurants & Cafes
Unlike the manual bot above, this isn't one node in a flow — it's a separate AI assistant mode that takes over the entire conversation and replies in natural language until it's switched off.
Set up either version — manual flow or AI agent — in minutes, on WhatsApp, Instagram or Messenger.
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