SME LENDING & FINANCE

SME Borrowing Decision Journey Study

Map how small and medium enterprise owners, finance managers, and procurement leads evaluate lenders, weigh repayment terms, and choose credit products, so you can sharpen acquisition targeting, fix conversion drop-offs, and benchmark your pricing position.

Pan-India sample
SMEs (Owners/Finance Decision-Makers)
15-20 min
Talk to a Survey Consultant
Journey friction & drop-offsIdentify where SME borrowers stall, disengage, or abandon credit applications mid-process.
Lender selection & trade-offsRank the criteria, approval speed expectations, and pricing thresholds that determine final lender choice.
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CONTEXT & RELEVANCE

Why run this survey now

Most lenders don't lose SME borrowers purely on interest rate. They lose them due to opaque eligibility criteria, slow credit decisions, misaligned loan tenures, weak relationship continuity, and poor digital touchpoint design, none of which fully show up in loan origination reports or NPA dashboards.

If you are...

  • Bank competing against NBFC speed
  • NBFC repositioning on trust and tenure
  • Credit or product head, SME lending
  • Distribution or channel growth lead
  • Fintech lender targeting underserved segments

You're likely facing...

  • Lender fit confusion: bank vs NBFC
  • Drop-offs at documentation or credit stage
  • Banks: stable but slow perception
  • NBFCs: fast but costly perception
  • Renewal attrition and switching gaps

This will help answer...

  • Preference drivers beyond rate
  • Funnel drop-off stage and cause
  • Segment-level lender preference shifts
  • Fee, tenure, and pricing tolerance
  • Renewal triggers and switch intent

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete SME borrower journey from credit need recognition to loan renewal.

TENETS 01

Discovery & Awareness

  • First lender touchpoint, channel
  • Referral source, peer influence
TENETS 02

Preference Drivers

  • Lender shortlisting criteria, rank order
  • Product type preference, tenure fit
TENETS 03

Product & Servicing

  • Loan structure, repayment flexibility
  • Post-disbursal servicing, RM access
TENETS 04

Journey Friction

  • Drop-off points, documentation burden
  • Disbursal delay, approval bottlenecks
TENETS 05

Pricing & WTP

  • Rate sensitivity, fee transparency
  • Willingness to pay, speed trade-off
TENETS 06

Usage & Stickiness

  • Repeat borrowing intent, wallet share
  • Cross-product adoption, lender lock-in
TENETS 07

Trust & Credibility

  • Lender reputation signals, brand cues
  • Transparency perception, RM trust
TENETS 08

Competitive Positioning

  • Lender set considered, switch triggers
  • Fintech vs. bank preference, gaps

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.

Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the SME Borrowing Decision Journey Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Mapping borrowing trigger points by loan size
2
Ranking lender selection criteria across segments
3
Comparing journey stages by sector and turnover band
Deliverables
Decision driver ranking
Journey stage matrix
Segment comparison cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Micro-enterprise owners with low digital access
2
Rapid coverage across Tier 2 and Tier 3 towns
Deliverables
Tier-wise SME coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-ticket borrowers requiring identity and intent verification
2
Cluster-level lending ecosystems needing contextual mapping
Deliverables
Cluster borrowing profiles
Rich journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, supported by CATI to capture micro-enterprise owners and Tier 2 or Tier 3 borrowers with limited digital access.
Consider adding: Face-to-face interviews in high-value industrial clusters and a focused FGD layer to pressure-test lender messaging and credit product positioning.

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

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

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

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

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 SME lending and borrowing space.

CASELET 1

SME lender channel preference & friction mapping (India)

CASELET 2

Working capital product positioning & message territories (West India)

SME lender channel preference & friction mapping (India)

OBJECTIVE

A digital-first NBFC needed to isolate why micro-enterprise owners and small business proprietors shortlisted specific lenders, and which documentation steps and turnaround expectations caused drop-off before disbursement.

WHAT WE DID

Ran a structured quant survey across 480 SME borrowers in 6 cities, capturing lender shortlist composition , channel of first approach , documentation burden scores , and perceived fairness of loan terms by borrower revenue band.

DELIVERED

A friction list by journey stage , a channel preference map segmented by business size, and a ranked set of acquisition levers to convert first-time borrowers away from incumbent bank relationships.
CASELET 1

SME lender channel preference & friction mapping (India)

CASELET 2

Working capital product positioning & message territories (West India)

SME lender channel preference & friction mapping (India)

OBJECTIVE

A digital-first NBFC needed to isolate why micro-enterprise owners and small business proprietors shortlisted specific lenders, and which documentation steps and turnaround expectations caused drop-off before disbursement.

WHAT WE DID

Ran a structured quant survey across 480 SME borrowers in 6 cities, capturing lender shortlist composition , channel of first approach , documentation burden scores , and perceived fairness of loan terms by borrower revenue band.

DELIVERED

A friction list by journey stage , a channel preference map segmented by business size, and a ranked set of acquisition levers to convert first-time borrowers away from incumbent bank relationships.

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 bank-only borrowers, NBFC-only borrowers and mixed borrowers?

How will you measure lender preference beyond simple ratings?

Will the survey map the full credit borrowing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our SME acquisition and retention messaging?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call