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Evaluator Agent
Tenant Satisfaction Survey Template
Tenant surveys get ignored and abandoned. Property managers need actionable feedback to address tenant concerns before they escalate to move-outs. This AI survey adapts questions based on tenant responses, exploring maintenance issues in detail and identifying satisfaction drivers that impact lease renewals.
Higher completion rates
Actionable feedback
Faster issue resolution
Used 808+ 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.
Questions it always asks
The core fields every response captures.
Rate your overall satisfaction with the property management response time
Are there any maintenance issues that need immediate attention?
How it adapts
Follow-ups that change based on what people say.
If tenant rates maintenance response below 3, ask for specific examples of delayed repairs
If tenant mentions noise complaints, ask about time of day and frequency
Where it routes people
Different paths for different answers.
Route urgent maintenance issues directly to property manager for same-day response
Send low satisfaction scores to leasing team for retention follow-up
Automations it can trigger
Actions that fire the moment a response comes in.
Create maintenance work orders in property management system for reported issues
Update tenant satisfaction scores in CRM for lease renewal planning
Send satisfaction reports to property owners with improvement recommendations
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 template works
The AI guides tenants through satisfaction topics, diving deeper into maintenance concerns or amenity feedback. It asks follow-up questions about response times, identifies urgent issues, and captures specific details that help property managers prioritize improvements.
Getting started
- 1
Define satisfaction categories and maintenance issue types to assess
- 2
Set up routing for urgent maintenance requests vs general feedback
- 3
Configure follow-ups for low satisfaction scores or specific complaints
- 4
Connect results to property management system for issue tracking
Template Details
- Agent Type
- Evaluator
- Category
- Real estate & financial services
- Industry
- Home & Real Estate
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluationRetention
- Replaces
- Survey tools
- Integrations
- Email, Webhook
- Times Used
- 808+
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.
- Traditional tenant satisfaction surveys average only 12-18% response rates because residents see them as corporate busywork and abandon lengthy forms that don't feel relevant to their specific living situation.
- Static forms miss critical context when tenants mention maintenance issues or neighbor problems, leaving property managers with vague complaints like 'parking is bad' instead of actionable details they can fix.
- Property managers discover urgent resident concerns weeks late because static surveys can't flag dissatisfied tenants who are likely to break leases or leave negative reviews online.
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.
- Adaptive conversations achieve 75-85% completion rates because residents feel heard rather than processed, with the AI asking relevant follow-ups based on their specific living situation and concerns.
- When tenants mention heating problems or noise complaints, the conversation automatically probes for details like specific units, times of day, and severity, giving maintenance teams actionable work orders.
- AI flags at-risk residents in real-time by detecting dissatisfaction patterns and lease renewal hesitancy, allowing property managers to intervene before residents decide to move out.
What questions should property managers ask in tenant feedback conversations?
Effective tenant feedback covers maintenance responsiveness, management communication quality, amenity satisfaction, and lease renewal likelihood. Ask about specific systems like HVAC performance, pest control effectiveness, and security measures. Include property-specific questions about fitness centers, parking availability, or concierge services. Always explore improvement suggestions and specific maintenance concerns that standard categories miss. The best feedback conversations adapt follow-up questions based on how long residents have lived there and their unit type.
FAQ
Frequently Asked Questions
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