You rated the stay a 6. What would have made it a 10?
D
Post-Stay Survey
Evaluator agent · 1.9K uses
Evaluator Agent
Front Desk and Check-In Experience Feedback
Ten minutes at the desk sets the frame for everything that follows. Check-in is short, operationally controllable, and disproportionately powerful. It is also buried inside a blended stay score where a bad arrival and a great room cancel each other out. This conversation isolates arrival and measures what it actually did to the guest's view of the stay.
Arrival satisfaction lifted
Queue patterns by hour
Room readiness failures caught
Used 1,073+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Information it collects
How long check-in tookWhether the room was readyHow they were treated on arrivalAnything that was unclear or unexplainedArrival time and how busy it wasWhat the arrival did to their expectations for the stay
Questions it always asks
The core fields every response captures.
Always ask how long check-in took and whether the room was ready
Ask what the arrival did to their expectations for the rest of the stay
How it adapts
Follow-ups that change based on what people say.
If the room was not ready, ask what they were told and what they did while waiting
If the wait was long, ask what time they arrived and how many staff were on
Where it routes people
Different paths for different answers.
Send arrival-time staffing gaps to the front office manager
Escalate repeated room-readiness failures to housekeeping leadership
Automations it can trigger
Actions that fire the moment a response comes in.
Post arrival wait patterns by hour to #front-office in Slack
Update the property record in HubSpot with arrival performance
Alert housekeeping when room readiness fails repeatedly at one property
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI agent works
The conversation asks the guest about arrival specifically: how long it took, whether the room was ready, how they were treated, and whether anything was unclear. It then asks the question that matters commercially, what those first ten minutes did to their expectations for the rest of the stay. Results roll up by property and by arrival time so staffing gaps surface.
Getting started
- 1
Trigger shortly after check-in, or include it in the post-stay flow
- 2
Capture arrival time so results can be read against your staffing pattern
- 3
Decide the wait threshold that counts as a problem for your segment
- 4
Route arrival-time patterns to the front office manager weekly
Template Details
- Agent Type
- Evaluator
- Category
- Hotels and hospitality
- Industry
- Hotels & Hospitality
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Slack, Hubspot, Email
- Times Used
- 1,073+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Arrival is buried inside a blended stay score, where a poor check-in and an excellent room cancel out. The property sees an average and misses a specific, controllable failure.
- Most surveys ask whether check-in was efficient, which invites a yes from anyone who eventually got a key. Efficiency is not the same as a good arrival.
- Without capturing arrival time, queue complaints cannot be read against staffing patterns, which is the only way to turn them into a rota change.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- The conversation isolates arrival as its own experience, so a failure there is visible rather than averaged into a stay that was otherwise fine.
- It asks how long it took and whether the room was ready as separate factual questions, which distinguishes a front desk capacity problem from a housekeeping timing one.
- Capturing arrival time lets queue feedback be read against the staffing rota, which turns a complaint into a specific scheduling decision.
What is a check-in experience survey?
It is feedback focused specifically on arrival: the queue, the interaction, whether the room was ready and whether anything was unclear. It exists as a separate instrument because arrival is short, highly controllable and disproportionately influential on the rest of the stay, yet it is normally measured only as part of a blended score where its effect is invisible.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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