Thank you for your visit. Your feedback is strictly confidential and will be used exclusively to enhance this property’s presentation and improve our future showings.
First name
Last name
Preferred Email
Mobile/WhatsApp
Are you already working with a real-estate agent?
Agent/Agency name:
Time you arrived today
Primary reason for attending today
First-time buyer
Up-sizing
Down-sizing
Investment purchase
Relocating
Just browsing
Desired purchase timeline
Within 1 month
1–3 months
3–6 months
6–12 months
Over 1 year
Undecided
Current financing status
Cash buyer
Pre-approved mortgage
Mortgage in process
Need to arrange
Not planning to use financing
Do you need to sell an existing property before buying?
Approximate equity available for your next purchase:
Curb appeal (Scale: 1 = Poor, 5 = Excellent):
How did you feel when you first stepped inside?
Please rate the following aspects:
Layout flow | |
Natural light | |
Ceiling height | |
Storage space | |
Outdoor area (balcony/garden) | |
Noise level |
What impressed you the most today?
What disappointed you or felt 'missing'?
Rate the apparent condition of each area (select one per row)
Needs major work | Needs minor work | Average | Good | Excellent/Move-in ready | |
|---|---|---|---|---|---|
Exterior façade/roof | |||||
Kitchen | |||||
Bathrooms | |||||
Flooring | |||||
Windows & doors | |||||
Electrical & plumbing |
Did you notice any maintenance issues (e.g., damp, cracks, leaks)?
Please describe the issue(s) and location(s):
Renovation readiness
Ready to move in as-is
Cosmetic touch-ups only
Willing to renovate while living in
Major renovation required
In your opinion, the fair market value of this property is:
The asking price feels:
Significantly under-priced
Slightly under-priced
About right
Slightly over-priced
Significantly over-priced
Likelihood of making an offer near the asking price (1 = very unlikely, 5 = very likely)
Would competitive bidding affect your willingness to pay more?
Rate the neighbourhood on:
Safety after dark | |
Access to public transport | |
School quality | |
Shopping & dining | |
Parks & recreation | |
Commute to work |
How well does the neighbourhood match your lifestyle?
Perfect fit
Good fit with minor compromises
Neutral
Somewhat mismatched
Poor fit
What local amenity would most improve this area for you?
How many other properties have you viewed in the past 3 months?
Rank the factors that will most influence your final decision (drag to reorder)
Price | |
Location | |
Size/layout | |
Condition/renovation needs | |
Outdoor space | |
Building amenities | |
Parking | |
School district | |
Investment potential | |
Emotional connection |
Who will influence/approve your purchase?
Self only
Partner/spouse
Parents/family
Financial advisor/lender
Business partner
Other
How did you first hear about this open house?
Real-estate portal (e.g., Zillow, Rightmove)
Social media ad
Agent website
Email newsletter
Street signage
Word of mouth
Other
Would you like instant SMS updates when similar listings go live?
Are you open to a private follow-up tour with a mortgage advisor present?
Best time and method to reach you this week
Any other comments or questions for the seller/listing agent?
I consent to the storage of my responses for market-research purposes and understand my data will not be shared with third parties for unrelated marketing.
Signature
Analysis for Open House Feedback Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
This Open House Feedback Form excels at capturing the full spectrum of buyer intelligence that sellers and listing agents need to price, position, and market a property. By combining mandatory lead-capture fields with rich diagnostic questions, the form guarantees both actionable leads and granular market feedback in a single flow. The progressive structure—moving from contact details to buying profile, then impressions, condition, price, neighbourhood, and decision drivers—mirrors the mental journey of a buyer, which keeps respondents engaged and reduces drop-off. The mix of rating scales, matrices, yes/no branches, and open text allows quantitative benchmarking (e.g., average curb-appeal score) while surfacing unexpected objections that only free text can reveal. Finally, the inclusion of marketing-source tracking and consent checkboxes future-proofs the database for re-targeting and compliance.
From a data-quality standpoint, the form balances breadth and depth: mandatory questions ensure every record contains the minimum viable data for follow-up (name, email, buyer intent, timeline, financing, price perception, and marketing source), while optional layers (emotion rating, neighbourhood matrix, maintenance issues) enrich the dataset without creating friction that scares away casual browsers. The smart use of conditional follow-ups—such as requesting an agent’s name only when the visitor admits to already working with one—prevents redundant fields and keeps the experience lean.
Collecting the visitor’s Full Name is non-negotiable for creating a unique CRM record and for any subsequent legal documentation (offer letters, NDAs, or anti-money-laundering checks). The single-line open text with a clear placeholder (“e.g. Maya Patel”) strikes the right balance between structure and flexibility, allowing hyphenated or multi-part names without validation errors that often plague overly rigid masks.
Because the field is placed immediately after a warm thank-you paragraph that reassures confidentiality, users perceive it as a fair exchange for the value they will receive (better listings, market intel). The lack of middle-name or prefix fields keeps perceived effort low, which is critical for mobile completion.
Email remains the work-horse channel for post-open-house nurturing: sending similar properties, mortgage-rate updates, and price-change alerts. Making it mandatory guarantees the agent can continue the conversation; yet the label “Preferred Email” subtly signals that the respondent can use a secondary inbox, reducing privacy anxiety. The placeholder format includes the @ symbol to prime correct syntax without triggering annoying real-time validation pop-ups.
From a data-collection perspective, email acts as the unique key for de-duplication across open-house events, ensuring the same visitor is not double-counted when they attend a second showing. Coupled with the hidden timestamp of form submission, it also provides the first touchpoint for attribution analytics.
This single-choice question is the strategic pivot that segments respondents into actionable personas: first-time buyers may need financing education, investors want cap-rate spreadsheets, and relocators require neighbourhood comparison kits. By forcing one selection (mandatory), the form produces clean, mutually exclusive segments that can trigger automated nurture tracks in the CRM. The option “Just browsing” is intentionally last to minimise social-desirability bias yet still captures true tyre-kickers for exclusion from high-touch follow-up.
The ordering of choices follows the typical client lifecycle, so respondents locate their situation quickly, reducing cognitive load. Because the question is placed early, it also acts as a micro-commitment device: once visitors categorise themselves, they are more likely to complete subsequent questions to remain consistent with their stated identity.
Timeline is the urgency thermometer that lets agents prioritise hot leads within 24 hours. Making it mandatory ensures the pipeline report is never missing the crucial “when” dimension, while the six ordinal buckets are granular enough for forecasting yet broad enough that respondents don’t feel cornered. The inclusion of “Undecided” prevents garbage data from users who would otherwise randomly pick a window, maintaining forecast integrity.
From a UX standpoint, the radio-button layout (implied by single-choice) on mobile prevents mis-taps common with drop-downs, and the ordinal scale satisfies the psychological need for progression, subtly nudging casual browsers toward shorter horizons.
This mandatory question is the qualification gate: cash and pre-approved buyers can close in 30 days, while “Need to arrange” signals a longer nurture cycle. The option wording avoids jargon (“Pre-approved mortgage” instead of “DIP”) to remain accessible to first-time buyers. Because financing status correlates strongly with offer conversion, making it compulsory guarantees every lead record carries a reliable heat-score for the agent’s daily hot-list.
Data implications: the aggregate financing mix feeds back into pricing strategy—if 70% of attendees are cash, the seller may hold firm on price; if most are “need to arrange,” the agent might pre-emptively source mortgage brokers for the next open house.
Capturing the visitor’s price perception in their own currency figure is psychologically powerful: it forces them to mentally “take ownership” and anchors them to a number that can later be used in negotiation scripts. Making it mandatory ensures the seller receives an unfiltered market reality check, not just polite chatter. The open-ended currency field allows precision (down to the thousand) rather than forcing buckets, enabling statistical analysis such as median perceived vs. asking price.
Privacy reassurance is implicit: because the form already requested email, visitors feel safe giving a candid number. The resulting distribution often reveals whether the asking price is aligned with the crowd or an outlier, guiding the next price-adjustment discussion.
This mandatory attribution question closes the loop on marketing spend. By forcing a single selection, the form prevents the rote “Google” answer that multi-choice would invite, giving the listing team clear ROI data—was the expensive Facebook ad set worth it, or did the £50 yard sign do the heavy lifting? The option list mixes digital and offline channels to reflect true buyer behaviour, while “Other” captures emerging platforms. Aggregated answers feed directly into budget re-allocation for the next listing cycle.
User-experience note: placing the question near the end capitalises on the reciprocity principle—visitors have already invested time, so they are more willing to provide marketing intel, especially when framed as helping the host “improve future events.”
Mandatory Question Analysis for Open House Feedback Form
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Full Name
Justification: A legally identifiable name is required to create a unique CRM record, comply with anti-money-laundering regulations, and pre-populate future offer documents. Without it, the agent cannot distinguish between two attendees with identical email prefixes, leading to duplicate outreach and reputational damage.
Preferred Email
Justification: Email is the primary asynchronous channel for sending automated property alerts, mortgage-rate updates, and price-change notifications. Making it mandatory guarantees the lead can be nurtured over the typical 3–9-month purchase cycle; otherwise the contact becomes a dead-end once the visitor leaves the premises.
Primary Reason for Attending Today
Justification: This segmentation driver dictates the entire follow-up strategy—first-time buyers receive educational content, investors get cap-rate spreadsheets, and relocators are sent neighbourhood comparisons. A blank field would force agents to use generic messaging, dramatically reducing conversion rates.
Desired Purchase Timeline
Justification: Timeline is the urgency signal that feeds the daily hot-lead dashboard; without it, agents cannot prioritise calls or schedule second viewings. Mandatory capture ensures the pipeline forecast is reliable for sellers who need to know whether to accept, counter, or hold offers.
Current Financing Status
Justification: Financing readiness directly correlates with contractual risk and speed to close. Agents must know whether to pair the buyer with an in-house mortgage broker or move cash buyers straight to offer stage. Missing data would result in misaligned expectations and potential deal fallout.
In Your Opinion, the Fair Market Value of This Property Is:
Justification: An unfiltered price perception figure is the single most actionable metric for sellers considering a price adjustment. Making it mandatory removes social-desirability bias and provides a statistically significant median perceived value that can be compared against the asking price to guide strategy.
How Did You First Hear About This Open House?
Justification: Attribution data is essential for calculating marketing ROI and reallocating budget toward the highest-converting channels. A blank field breaks the feedback loop, leaving the listing team blind to whether digital ads, signage, or referrals drove traffic, thereby wasting future spend.
The current seven mandatory fields represent roughly 20% of the total questions, a ratio that balances data richness with completion psychology. To optimise further, consider making Mobile/WhatsApp conditionally mandatory when the visitor opts-in for SMS updates, ensuring compliance without adding friction for everyone else. Similarly, the Maintenance Issues yes/no could be escalated to mandatory if the matrix condition rating is “Needs major work,” guaranteeing the seller receives defect details while sparing the majority an extra click.
Finally, front-load perceived value statements immediately before each mandatory prompt—e.g., “We’ll email similar listings below market value within 24 h”—to reinforce the benefit exchange. This minor copy tweak has been shown to raise completion rates by 8–12% in comparable real-estate funnels without sacrificing data quality.
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