You rated the stay a 6. What would have made it a 10?
D
Post-Stay Survey
Evaluator agent · 1.9K uses
Evaluator Agent
Renovation Impact on Guest Experience
The biggest check the property writes, and the return is usually argued rather than measured. During a renovation scores drop and everyone assumes it is the noise. Afterwards scores recover and everyone assumes the investment worked. Neither is measured. This conversation asks guests who stayed during or just after what they actually noticed and what the refreshed product is worth to them.
Disruption cost quantified
Willingness to pay tested
Capital case evidenced
Used 2,104+ 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
What they noticed of the worksWhether construction actually affected the stayWhat they were told in advanceHow updated areas compared to older onesWhether the refresh changes what they would payEffect on likelihood to return
Questions it always asks
The core fields every response captures.
Always ask whether the works actually affected the stay, not just whether they noticed
Ask whether the refresh changes what they would pay or their likelihood to return
How it adapts
Follow-ups that change based on what people say.
If construction affected them, ask what they were told in advance and whether it was enough
If they saw both old and new areas, ask them to compare the two directly
Where it routes people
Different paths for different answers.
Send disruption complaints to the general manager during the works
Route willingness-to-pay findings to revenue management after completion
Automations it can trigger
Actions that fire the moment a response comes in.
Post disruption themes to #property-ops in Slack while works are live
Update the property record in HubSpot with pre and post renovation sentiment
Alert revenue management when guests signal higher willingness to pay
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 guests who stayed during or shortly after the works what they noticed, whether construction actually affected the stay, and how the updated areas compared with the parts not yet done. It then asks the commercial question directly: whether the refresh changes what they would pay or how likely they are to return, which is the number the capital case was built on.
Getting started
- 1
Trigger for guests who stayed during the works and for a cohort shortly after completion
- 2
Identify which areas were complete at the time of each stay so comparisons are fair
- 3
Decide whether you are measuring disruption cost, uplift, or both
- 4
Feed the results back into the capital case before the next property
Template Details
- Agent Type
- Evaluator
- Category
- Hotels and hospitality
- Industry
- Hotels & Hospitality
- Business outcome
- Operate more efficiently
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Slack, Hubspot, Email
- Times Used
- 2,104+
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.
- Scores dip during works and recover afterwards, and both movements get explained without evidence. The dip is attributed to noise and the recovery to the investment, neither of which is measured.
- Standard post-stay surveys do not ask what guests were told in advance, yet expectation-setting explains most of the difference between guests who tolerated the disruption and those who did not.
- Nothing in a normal feedback instrument tests willingness to pay, which is the number the capital case was built on and the only one that determines whether the investment worked.
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 asks whether the works actually affected the stay rather than whether they were noticed, which separates genuine disruption from cosmetic awareness.
- It captures what guests were told in advance, which usually turns out to be the strongest predictor of whether disruption damaged the stay.
- Because it asks guests who saw both old and new areas to compare them directly, you get a within-guest comparison that is far more reliable than tracking scores across time.
What is a renovation impact survey?
It is guest feedback collected during and immediately after a property renovation, designed to measure two separate things: what the disruption cost in guest experience, and what the finished product is worth to guests. Most properties measure neither and rely on score movements that have several possible explanations.
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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