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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

11 questions · ~6 min
Q01
Message

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

Q02
Multiple ChoiceRequired

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
Multiple Choice

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
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q05
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q06
MatrixRequired

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

5 rows × 5 columns
  • Property tour / showing
  • Leasing agent responsiveness
  • Unit condition
  • Community amenities
  • Clarity of the application process
Columns: Poor · Fair · Good · Very good · Excellent
Q07
Price Sensitivity (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
Multiple Choice

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 Interview

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
Multiple Choice

Which best describes your household?

  • Living alone
  • Couple / partner
  • Roommates
  • Family with children
  • Multi-generational household
  • Prefer not to say
Q11
Message

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.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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