Pre-Market Listing Strategy Effectiveness Survey
Captures how sellers experienced the pre-market or 'coming soon' phase before their home went live on the open MLS — buyer interest, pricing signals, and agent support — with an AI follow-up that reconstructs why offers did or didn't materialize during that window. Built for real estate agents and brokerages deciding whether to keep offering a pre-market strategy.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
What was the primary reason you chose a pre-market (coming soon) period before your home was fully listed on the open MLS?
- Test buyer interest without a public days-on-market count
- Get ahead of competing listings coming soon
- Refine the listing price based on early feedback
- Give more time for marketing materials and staging
- My agent recommended it and I went along with it
- Other
How satisfied were you with the level of buyer interest (inquiries, showing requests) during the pre-market period?
Did you receive any offers while the property was still in pre-market status?
- Yes, and we accepted one
- Yes, but we didn't accept any
- No offers received
- Not sure / don't recall
How much do you agree with each statement about your pre-market experience?
- The listing price felt right when we went live
- My agent gave me clear guidance on timing and next steps
- Marketing materials (photos, description) were ready before the pre-market launch
- Showing feedback from interested buyers was shared with me quickly
How would you rate your agent's communication during the pre-market phase?
Thinking back on your decision, split 100 points across these factors based on how much each one influenced your choice to use a pre-market period.
- Avoiding a long public days-on-market count
- Testing whether the asking price was right
- Building early buzz before the public launch
- Giving my agent time to prepare marketing
- Other reasons
How likely are you to recommend a pre-market (coming soon) listing strategy to another home seller?
Reconstruct what actually happened during this seller's pre-market period, anchoring on whether they received offers. If they received an offer, probe what made them accept or decline it and how it compared to their price expectations. If they received no offers, probe what they believe held buyers back — price, condition, marketing, timing — and whether the price was adjusted before the public launch. Close by asking what one change would have made the pre-market phase more valuable.
Did the pre-market period change the price at which you ultimately listed on the open market?
- We increased the price
- We decreased the price
- We kept the same price
- The home sold before it reached the open market
- Not applicable
What, if anything, would have made the pre-market period more valuable to you as a seller?
Just two quick optional questions about you, then we're done.
What price range was your home listed in?
- Under $250,000
- $250,000 - $499,999
- $500,000 - $749,999
- $750,000 - $999,999
- $1,000,000 or more
- Prefer not to say
Which age range do you fall into?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
That's everything — thank you! Your feedback helps agents decide when and how to use pre-market listings, and your answers will be reviewed alongside other sellers' experiences, not shared individually.
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 dedicated AI follow-up interview that reconstructs why offers did or didn't materialize during the pre-market window, going beyond static questions to probe seller reasoning in real time.
- Combines a constant-sum question (splitting 100 points across decision factors) and an agreement matrix to capture nuanced tradeoffs, not just single-scale ratings.
- Pairs a satisfaction opinion scale and recommendation likelihood score with a dedicated agent-communication rating, giving brokerages a full picture of both market response and agent performance.
- Automated quality scoring and auto-generated reports turn seller responses into decision-ready insight for agents/brokerages weighing whether to keep offering pre-market listings.
Jotform
Condo Pre-Market Listing Questionnaire Form TemplateA static, fielding-ready form template scoped to condo pre-market listings rather than single-family homes broadly. It relies on fixed questions with no follow-up logic to explore why a seller's outcome played out the way it did.
What it does well
- Quick to deploy within Jotform's drag-and-drop builder
- Part of a large template library with common form integrations
- Condo-specific framing may suit niche brokerages
Where it falls short
- No adaptive AI follow-up to probe why offers did or didn't materialize
- No automated per-response quality scoring
- No voice AI interview option
SurveySparrow
Pre-Market Listing Questionnaire TemplateA conversational-style survey template covering the pre-market listing experience, built on SurveySparrow's chat-like form format. It's a fixed question set aimed at general feedback collection rather than reconstructing seller decision drivers.
What it does well
- Conversational, chat-style question flow improves completion feel
- Easy to customize and brand for a real estate business
- Straightforward to launch without setup overhead
Where it falls short
- No adaptive AI follow-up interview to dig into why offers stalled or converted
- No automated quality scoring of responses
- No transparent published prompt methodology behind question logic
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.