Sales & Revenue

Prospective Tenant Interest & Decision Drivers Survey

Captures what prospective tenants are looking for, how they rate this property against alternatives, and how price-sensitive they are — with an AI follow-up interview that surfaces the specific hesitations and dealbreakers behind their likelihood-to-lease rating. Built for leasing teams and property managers.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 11개 · 약 6분

Q01

메시지

Thanks for taking a look at this property! We'd love to hear how your search is going and what matters most to you. Your responses are completely confidential and anonymized. This will take about 4-5 minutes and helps us make the leasing process better.

Q02

객관식필수

Which best describes where you are in your apartment search right now?

Just starting to look
Actively touring a few places
Deciding between final options
Ready to sign a lease

Q03

객관식

How did you first hear about this property?

Online listing site (e.g., Zillow, Apartments.com)
Social media ad
Referral from a friend or family member
Drove by / saw a sign
Property website

Q04

최선·최악 선택형(MaxDiff)필수

Which of these matters most when you're choosing where to rent?

Monthly rent price
Location / commute
Unit size and layout
Amenities (gym, pool, etc.)
Pet policy
Parking availability
Safety of the neighborhood
Quality of appliances and finishes

세트별 최선·최악 선택최선:Matters most최악:Matters least

Q05

의견 척도필수

Based on what you've seen so far, how likely are you to lease at this property?

척도: 0 – 10

최소:Not at all likely최대:Extremely likely

Q06

매트릭스필수

Please rate your experience with each of the following so far:

5개 행 × 5개 열

Property tour / showing
Leasing agent responsiveness
Unit condition
Community amenities
Clarity of the application process

열: Poor · Fair · Good · Very good · Excellent

Q07

가격 민감도(Van Westendorp)

A few quick questions about monthly rent for this unit.

At what monthly rent would you consider this apartment to be a bargain — so cheap you'd question its quality?
At what monthly rent would you consider this apartment a good deal?
At what monthly rent would you start to think this apartment is expensive, though you'd still consider it?
At what monthly rent would this apartment be too expensive for you to consider?

Q08

객관식

When are you hoping to move in?

Within 2 weeks
Within 1 month
1-3 months
More than 3 months
Just exploring, no set date

Q09

AI 인터뷰

Ask the respondent to explain the reasoning behind their likelihood-to-lease rating: what specifically is drawing them toward this property, and what hesitations or dealbreakers (price, unit condition, location, competing options) are holding them back. If they mention a competing property, probe what it offers that this one doesn't. If their rating was high, confirm what would need to happen next for them to actually sign.

Q10

객관식

Which best describes your household?

Living alone
Couple / partner
Roommates
Family with children
Multi-generational household
Prefer not to say

Q11

메시지

That's everything — thank you for sharing your thoughts! Your answers help our leasing team understand what matters most to renters like you and improve the experience going forward.

포함된 기능

AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

Includes a max-diff exercise to quantify which factors (price, location, amenities, etc.) actually drive rental decisions, not just a single satisfaction question
Pairs a likelihood-to-lease opinion scale with an AI follow-up interview that asks respondents to explain the reasoning behind their rating, surfacing specific hesitations and dealbreakers
Uses a Van Westendorp pricing exercise to map price sensitivity on the actual unit, going beyond a single 'what's your budget' question
Combines a matrix rating of the experience so far with move-in timing and household composition questions, giving leasing teams a full picture of fit, not just contact info

Jotform

Prospective Tenant Application Form Template

This is a tenant application/intake form focused on collecting applicant details (contact info, rental history, etc.) rather than a decision-drivers or satisfaction survey. It's a fielding-ready static form, useful for the leasing paperwork stage but not for understanding why a prospect is or isn't likely to lease. No mechanism for probing reasoning behind ratings or price sensitivity.

잘하는 점

Ready-to-use, customizable form fields typical of Jotform's builder
Likely supports e-signatures and file uploads common to Jotform application templates
Easy to embed on a property website or leasing page

아쉬운 점

Built for application data collection, not for capturing decision drivers, price sensitivity, or likelihood-to-lease insights
Static form fields only — no adaptive AI follow-up to probe hesitations or dealbreakers
No built-in pricing sensitivity (e.g., Van Westendorp) or max-diff prioritization exercise

SurveySparrow

Prospective Tenant Questionnaire Form

A fielding-ready questionnaire aimed at prospective tenants, closer in intent to our template than a bare application form. It likely covers preferences and basic fit questions, but as a conversational-style form product it relies on fixed question logic rather than true AI-driven follow-up interviewing. No indication of a pricing sensitivity module or structured trade-off (max-diff) exercise.

잘하는 점

Conversational chat-style UI that can feel more engaging than a static form
Purpose-built for tenant questionnaires, so questions are relevant to the leasing use case
Likely supports branching logic for basic question skips

아쉬운 점

No adaptive AI follow-up interview to surface specific hesitations behind a likelihood-to-lease rating
No Van Westendorp-style price sensitivity module or max-diff prioritization of decision factors
No published automated quality scoring or transparent prompt methodology for open-ended responses

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