A mortgage lead who fills out a contact form gives the loan officer a name, a phone number, and nothing else. The loan officer calls blind, spends the first five minutes asking qualification questions, and often discovers that the lead has a credit score below program minimums, is 18 months away from purchasing, or is simply comparing rates with no intent to act. That call cost 15 minutes of the loan officer's day and produced zero revenue.
A mortgage pre-qualification quiz inverts this. The lead answers 8 to 12 questions before the loan officer ever picks up the phone. The quiz captures loan purpose, timeline, credit range, property type, down payment capacity, and employment status. A scoring model assigns points to each answer. Hot leads route directly to the booking calendar. Warm leads enter the nurture sequence. Leads below the qualification threshold receive educational content. The loan officer's first call is no longer a screening conversation. It is a consultation with a pre-qualified borrower whose file is already populated.
This guide covers the question sequence, the scoring model, the compliance boundaries, and the pipeline routing logic for a mortgage pre-qualification quiz built inside GoHighLevel.
Why a quiz outperforms a contact form for mortgage leads
A contact form collects contact information. A quiz collects contact information plus qualification data plus engagement signals. The difference matters for three reasons.
Reason 1: The loan officer's time is the most expensive resource in the operation. Every minute spent on an unqualified call is a minute not spent on a borrower who is ready to apply. A quiz that screens out leads with credit below 620, no verifiable employment, or a timeline beyond 12 months removes those calls from the calendar before they happen. If 30 percent of raw leads are below threshold, the quiz gives the loan officer 30 percent more time for qualified conversations.
Reason 2: The lead's engagement level is higher after completing a quiz. A contact form takes 15 seconds. A quiz takes 90 seconds to 2 minutes. The lead who invests 2 minutes answering questions about their financial situation has a higher psychological commitment to the process than the lead who typed their email and hit submit. Industry conversion data consistently shows that leads who complete interactive assessments book consultations at higher rates than leads who submit static forms.
Reason 3: The quiz populates the CRM with structured data. Every answer maps to a custom field in GHL. The email sequences reference those fields by name. The internal notifications include the lead's specific answers. The loan officer reads "Purchase, 30-day timeline, 760+ credit, 20% down, W-2 employed" and knows exactly what they are working with before dialing. A contact form produces none of this. The structured data from the quiz turns the CRM from a contact list into an intelligence system.
The question sequence: what to ask and in what order
The question order matters. Each question builds on the assumption that the previous answer was acceptable. Asking about down payment before asking about loan purpose makes no sense because refinance leads do not have a down payment. Asking about timeline before asking about loan type produces a timeline answer that the system cannot interpret without knowing the context.
The routing question (Q1)
"What is your primary goal?" Options: Purchasing a Home, Refinancing My Mortgage, Accessing Home Equity. This is the single most important question in the quiz. The answer determines which pipeline the lead enters, which email sequence they receive, and which subsequent questions they see. Purchase leads skip the "current rate" question. Refinance leads skip the "down payment" question. The quiz must branch based on this answer.
Shared questions (Q2 through Q5)
Q2: "What type of property?" Options: Single Family Home, Condominium, Multi-Unit (2 to 4 Units), New Construction, Manufactured Home. This question matters because certain property types have limited financing options. Manufactured homes and condos require specific program eligibility checks. Multi-unit properties require higher down payments for conventional loans. The answer adjusts the score slightly and flags the loan officer if the property type introduces complications.
Q3: "What is your estimated credit range?" Options: 780+, 740 to 779, 700 to 739, 660 to 699, Below 660, Not Sure. Use ranges, not exact numbers. Leads are more comfortable selecting "740 to 779" than typing "752." The "Not Sure" option is essential. It does not disqualify the lead, but it does reduce their score slightly because uncertain credit range correlates with less preparation.
Q4: "What is your current employment status?" Options: W-2 Full-Time Employee, Self-Employed (2+ Years), Self-Employed (Under 2 Years), Retired with Documented Income, Other. Lenders require two years of employment history for most programs. Self-employed borrowers under two years face significantly more documentation requirements per CFPB guidelines. The score reflects this: W-2 and self-employed 2+ years receive full points, while under-2-year self-employment and "Other" receive reduced points.
Q5: "Where are you in your decision process?" Options vary by loan type. Purchase: Under Contract Now, Actively Searching, Starting in 1 to 3 Months, Starting in 6+ Months, Just Exploring. Refinance: Ready to Apply, Waiting for Better Rates, Considering Options, Just Curious. This question carries the heaviest weight in the scoring model because it directly measures readiness to act.
Purchase-specific questions (Q6P through Q8P)
Q6P: "What is your estimated down payment range?" Options: 20% or More, 10 to 19%, 5 to 9%, 3 to 4%, VA or USDA Zero Down. Down payment capacity signals financial readiness and determines which loan programs apply. A lead putting 20% down qualifies for conventional financing without PMI. A lead at 3% needs FHA or a conventional program with PMI. Both are viable borrowers, but the conversation differs.
Q7P: "Have you been pre-approved by any lender?" Options: Yes, Pre-Approved with a Lender, Yes, Pre-Qualified Only, No, Not Yet. A pre-approved lead is further along in the process and may be comparing lenders. The nurture strategy shifts: less education, more competitive positioning on rates and service.
Q8P: "What is your target purchase area?" Text input. This populates the Target Area custom field and allows the loan officer to include area-specific information in the first call. It also enables geographic-based notification routing if the agency has multiple loan officers covering different territories.
Refinance-specific questions (Q6R through Q8R)
Q6R: "What is your current mortgage interest rate?" Slider or dropdown: 3% to 8%+ in 0.25% increments. This is the most important data point for refinance scoring. The gap between the lead's current rate and today's market rate determines whether refinancing produces meaningful savings. A lead at 7.5% has a different urgency profile than a lead at 4.5%.
Q7R: "How long do you plan to stay in your home?" Options: Less than 2 Years, 2 to 5 Years, 5 to 10 Years, 10+ Years. This determines break-even viability. Closing costs on a refinance typically run 2 to 5% of the loan amount. A borrower who plans to sell in 18 months may never recoup those costs. The score reflects this: longer tenure receives higher points because the savings compound over more months.
Q8R: "What is your primary refinance goal?" Options: Lower Monthly Payment, Shorter Loan Term, Cash Out for Home Improvement or Debt, Remove PMI. Each goal produces a different conversation and a different loan recommendation. The answer populates the Refinance Goal custom field and adjusts the first email in the refinance sequence to address the specific outcome the borrower wants.
The scoring model and threshold calibration
The scoring model assigns points per answer and produces a total that maps to a lead temperature: Hot (80+), Warm (50 to 79), or Cold (below 50). The total scale runs from 0 to 100.
| Question | Highest Value Answer | Points |
|---|---|---|
| Decision readiness (Q5) | Under Contract / Ready to Apply | 25 |
| Credit range (Q3) | 780+ | 15 |
| Current rate (Q6R, refi only) | 7.5%+ | 20 |
| Down payment (Q6P, purchase only) | 20%+ | 15 |
| Employment (Q4) | W-2 Full-Time | 10 |
| Property type (Q2) | Single Family | 10 |
| Tenure / pre-approval | 10+ years / Pre-Approved | 5 |
Decision readiness and current rate (for refinance) carry the most weight because they are the strongest predictors of near-term conversion. A lead who is under contract with a 660 credit score is more valuable than a lead with 780 credit who is "just exploring." The scoring model reflects this reality.
Threshold calibration is not a one-time event. The initial thresholds (80/50) should be reviewed after 30 to 60 days of live data. If 90 percent of leads score "Hot," the threshold is too low. If 90 percent score "Cold," it is too high. The goal is a distribution where roughly 20 to 30 percent of leads are Hot (immediate contact), 40 to 50 percent are Warm (nurture sequence), and 20 to 30 percent are Cold (educational content or disqualified). This distribution ensures the loan officer's calendar is full without being overwhelmed, and the nurture system has a substantial pool to work.
Compliance boundaries: what the quiz is and what it is not
The quiz is a pre-qualification assessment. It is not a pre-approval, a rate lock, a loan estimate, or a commitment to lend. The language throughout the quiz and all downstream automated messages must reflect this distinction.
What the quiz can say: "This assessment helps us understand your situation so we can connect you with the right loan officer." "Based on your answers, here is what to expect in your first consultation." "Your estimated readiness score is [X], which means [description of what that score indicates about their preparation level]."
What the quiz cannot say: "You are pre-approved for $X." "Your estimated rate is X%." "You qualify for [specific loan program]." These statements require a formal credit check, income verification, and underwriter review. Making them based on self-reported quiz answers violates lending advertising regulations and exposes the loan officer to compliance risk.
The mortgage agency setup guide covers the full compliance framework for automated messages in the email sequences that follow quiz submission. For the quiz itself, the rule is simple: describe the borrower's readiness level, do not describe the loan they qualify for. The qualification happens in the consultation. The quiz determines whether the consultation is worth scheduling.
How Origin's mortgage quiz deploys with the full ecosystem
Origin's mortgage niche ecosystem includes a pre-built quiz with all of the questions, scoring logic, and routing described above. The quiz uses image cards and button-style answer options with progressive animations. It branches at Q1 based on loan purpose. It populates all mortgage-specific custom fields on submission. It fires the scored result into the correct pipeline and triggers the appropriate nurture sequence.
The quiz is one component of the full mortgage snapshot. It deploys alongside both pipelines (purchase and refinance), the segmented email sequences, the internal notifications, the booking calendar configuration, and the referral automation layer. The agency owner imports the snapshot, applies the client's brand, and runs two test leads (one purchase, one refinance) to confirm routing. The quiz that would have taken 2 to 3 hours to build manually is live in minutes.
For agency owners building across multiple niches, the Quiz Code Workstation supports 10 question types and 10 niche-specific templates. The mortgage quiz uses buttons, image cards, sliders (for the rate question), and dropdowns. Each niche's quiz is calibrated to that industry's qualification criteria. Mortgage scoring uses loan readiness and rate opportunity. The scoring model for a chiropractic quiz uses pain urgency and treatment readiness. The scoring model for a reactivation sequence uses engagement signals and rate threshold proximity. Every niche gets its own intelligence, not a generic template.
Explore the full Origin platform to see every workspace and tool that ships alongside the mortgage ecosystem.