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Lead Notifi · Restaurants & Cafes
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Post-Meal Feedback & Loyalty Bot for Restaurants

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.

Option 1

Build it as a Manual Bot

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.

1.LogicTrigger2 hours after the reservation time (CRM booking record)
2.CommunicationQuick Reply — branches into 3 paths: Great / Okay / Not Great
3.LogicSet Tagfeedback-followup-done
4.CommunicationQuick Reply

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

Option 2

Build it as an AI Agent Bot

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.

R

Restaurants & Cafes

Online
Hi Farah, thanks for dining with us tonight! How was everything?10:01 AM
honestly not great, our order came out wrong and took forever10:01 AM
I'm really sorry to hear that — that's not the experience we want for you. Can you tell me a bit more about what happened?10:01 AM
we ordered the salmon but got chicken, and it took 40 minutes10:01 AM

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.

Which fits this use case?

Manual bot: consistent, low-cost feedback capture across every table, but "Not Great" just routes to a manager queue with no immediate resolution — a frustrated guest may post a public review before anyone follows up.
AI agent: de-escalates in real time, offers a concrete make-good (refund or complimentary item), and gathers what went right alongside what went wrong — a much richer recovery conversation.
Best fit here: manual bot for routine feedback collection across every guest; AI agent for guests reporting a real problem, where immediate acknowledgment and resolution genuinely prevents reputation damage.

Frequently asked questions

How does the bot know a reservation just ended?+
A TemplateTrigger fires a fixed time (2 hours here) after the reservation time stored in the CRM booking record.
What happens to a guest who reports a problem?+
They're asked what went wrong and routed directly to the Restaurant Manager (flagged Urgent) via a Team Assignment node — not left in a generic feedback queue.
Can the bot offer refunds or comps automatically?+
No — the manual flow escalates to a manager for any resolution decision; the AI agent version can propose standard remedies (like a comp or refund) in conversation, but actual processing still goes through staff.
Is this available on Instagram and Messenger too?+
Yes — the same TemplateTrigger → Quick Reply branching model runs identically on WhatsApp, Instagram DMs and Messenger.

Build this bot for your business

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