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
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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. 1

    Define satisfaction categories and maintenance issue types to assess

  2. 2

    Set up routing for urgent maintenance requests vs general feedback

  3. 3

    Configure follow-ups for low satisfaction scores or specific complaints

  4. 4

    Connect results to property management system for issue tracking

Template Details

Agent Type
Evaluator
Industries
Home & Real Estate
Roles
OperationsCustomer Success
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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Forms are costing you business

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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