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Post-Viewing Property Evaluation Survey

Captures how a prospective buyer or renter evaluated a specific property right after a tour or showing — condition, price fairness, must-have features, and likelihood to move forward. An AI follow-up interview digs into the real reasons behind their interest level and any dealbreakers, giving agents and property managers insight closed-ended ratings alone can't provide.

Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for touring the property with us! We'd love your honest impressions while they're still fresh — this will take about 4-5 minutes and helps us understand what's working and what isn't.

Q02
Multiple ChoiceRequired

How did you view the property?

  • In-person tour
  • Live virtual tour
  • Self-guided open house
  • Recorded video walkthrough only
Q03
Opinion ScaleRequired

Overall, how would you rate the physical condition of the property?

Scale: 15
Min:Poor conditionMax:Excellent condition
Q04
MatrixRequired

Please rate the following aspects of the property.

6 rows × 5 columns
  • Layout & flow
  • Natural light
  • Kitchen & appliances
  • Storage space
  • Outdoor/yard space
  • +1 more
Columns: Poor · Below average · Average · Good · Excellent
Q05
Opinion ScaleRequired

Given the asking price (or rent), how would you rate the value of this property?

Scale: 17
Min:OverpricedMax:Excellent value
Q06
Multiple ChoiceRequired

How likely are you to move forward (make an offer or apply) on this property?

  • Definitely will not proceed
  • Probably will not
  • Undecided
  • Probably will proceed
  • Definitely will proceed
Q07
Best–Worst Trade-off (MaxDiff)

When deciding on a property, which of these factors matter most to you?

  • Location
  • Asking price
  • Size / square footage
  • Overall condition
  • Natural light
  • Storage space
  • Outdoor space
  • School district / neighborhood reputation
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
AI Interview

Probe the reasoning behind the respondent's likelihood-to-proceed rating: what specifically drove that answer, and what would need to change to move them up or down a level. If they rated the property's value poorly, ask what price would feel fair. If they flagged low ratings on any single aspect in the matrix (light, storage, noise, etc.), ask whether that alone is a dealbreaker or just a minor concern. Anchor at least one question on the top factor they picked in the best-worst trade-off exercise.

Q09
Short Text

Was there anything about the property that could be a dealbreaker (e.g., structural issues, odor, layout problems)? Describe briefly if so.

Q10
Multiple Choice

Compared with other properties you've viewed recently, how does this one rank overall?

  • Best so far
  • Above average
  • About average
  • Below average
  • This is the only property I've viewed
Q11
Multiple Choice

Which best describes your current situation?

  • First-time homebuyer
  • Repeat homebuyer
  • Renter looking to rent
  • Property investor
  • Other
  • Prefer not to say
Q12
Multiple Choice

What is your age range?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
Message

That's everything — thank you for sharing your impressions! Your feedback goes directly to the agent/property team to improve how this and future properties are presented.

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

  • Goes beyond static ratings with an AI follow-up interview that probes the real reasoning behind a respondent's likelihood-to-proceed rating and surfaces dealbreakers in their own words
  • Combines structured measurement (opinion scales on condition and value, a matrix on property aspects, and a MaxDiff on decision priorities) with open-ended context, giving agents both the 'what' and the 'why'
  • Segments respondents by viewing method, current situation, and age range, plus a direct ranking against other properties viewed, so results can be sliced by buyer type
  • Automated per-response quality scoring and an auto-generated report mean property managers get clean, ready-to-use insight without manually reading every open-text answer

Jotform

Property Evaluation Form Template

A fielding-ready static form builder template for capturing property evaluation feedback, with Jotform's typical drag-and-drop customization and integrations. It's built for form completion rather than conversational depth, so it captures ratings but not the reasoning behind them. No AI-driven follow-up or automated interview scoring is part of the offering.

What it does well

  • Easy to customize and embed as a standard web form
  • Likely integrates with Jotform's broader form ecosystem (notifications, storage, PDF export)
  • Simple, familiar form-fill experience for respondents

Where it falls short

  • Static form fields only — no adaptive AI follow-up interview to probe dealbreakers or reasoning
  • No automated per-response quality scoring or AI-generated analysis report
  • No transparent prompt methodology since there's no AI interviewing component

Typeform

Property Evaluation Form

A conversational-style, fielding-ready template well-suited to a friendly post-viewing feedback flow, leveraging Typeform's one-question-at-a-time UX. It's still a fixed question set, so while the experience feels conversational, there's no actual adaptive branching based on respondent answers. Reporting is limited to Typeform's standard results dashboard rather than an AI-synthesized analysis.

What it does well

  • Polished, mobile-friendly conversational question flow
  • Good respondent experience and completion rates typical of Typeform forms
  • Simple to brand and share after a property showing

Where it falls short

  • No adaptive AI follow-up interview — question flow is fixed, not driven by a respondent's actual answers
  • No automated quality scoring of individual responses
  • No auto-generated qualitative report synthesizing open-ended reasoning

Ready to launch?

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