Student Loan Decision & Repayment Behaviour Survey
Map how student borrowers evaluate lenders, compare repayment terms, and choose between loan products, so you can sharpen acquisition targeting, fix repayment conversion gaps, and benchmark pricing against borrower willingness to pay.
CONTEXT & RELEVANCE
Why run this survey now
Most student lenders don't lose borrowers purely on interest rate. They lose them due to opaque repayment structures, misaligned loan tenure expectations, poor income-to-EMI fit, limited refinancing awareness, and post-disbursement service gaps, none of which fully show up in loan origination reports or delinquency dashboards.
If you are...
- Education lender vs fintech competition
- NBFC targeting underserved student segments
- Credit product head, student portfolio
- Retail lending growth or distribution lead
- Repayment strategy or collections team
You're likely facing...
- Loan tenure vs income mismatch
- Drop-offs at repayment onset stage
- Banks = safe/inflexible borrower perception
- Fintechs = fast/costly repayment perception
- Refinancing triggers and early exit gaps
This will help answer...
- Repayment preference drivers beyond rate
- Drop-off stage in repayment journey
- Segment split by loan type
- EMI burden vs tenure tolerance
- Refinancing and lender-switch triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete borrower journey from loan discovery to full repayment.
Discovery & Awareness
- First lender touchpoint, channel
- Information sources before application
Lender Selection
- Shortlisting criteria, ranked priority
- Public vs. private lender preference
Application & Onboarding
- Documentation burden, processing time
- Digital vs. branch application channel
Journey Friction
- Drop-off points, abandonment triggers
- Escalation frequency, resolution time
Pricing & WTP
- Interest rate sensitivity, fee tolerance
- Fixed vs. floating rate preference
Repayment Behaviour
- EMI mode, moratorium utilisation
- Prepayment intent, part-payment frequency
Trust & Satisfaction
- Lender NPS, post-disbursal support
- Complaint resolution, transparency rating
Switching & Refinance
- Balance transfer intent, trigger events
- Refinance awareness, competitive pull
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Student Loan Decision and Repayment Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the student finance and lending space.
Education loan channel preference & borrower segmentation (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Education loan channel preference & borrower segmentation (India)
Student debt repayment stress & messaging territory mapping (India)
Education loan channel preference & borrower segmentation (India)
OBJECTIVE
A digital-first NBFC needed to segment first-generation borrowers and repeat education loan applicants by lender preference, isolating how interest rate sensitivity , co-applicant dependency , and disbursement speed shaped the final lender choice.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing lender shortlist composition , channel of first contact , collateral tolerance , and turnaround time expectations by borrower tier and course type.
DELIVERED
A borrower segment framework by risk appetite and lender affinity, a channel preference map by city tier, and a ranked friction list covering documentation burden and processing delays by lender category.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between government loan borrowers, private bank borrowers and NBFC borrowers?
How will you measure loan selection decisions beyond simple ratings?
Will the survey map the full student loan journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our borrower acquisition and collections strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.