MSME LENDING & FINANCE

MSME Credit Access Gap Frequency & Informal Finance Workaround Rate Survey

Measure how MSME owners evaluate formal credit barriers, navigate informal finance workarounds, and weigh collateral requirements, documentation load, and lender turnaround time, so you can sharpen acquisition targeting, fix product-market fit gaps, and benchmark conversion across borrower segments.

Pan-India sample
MSMEs (Owners/Finance Decision-Makers)
15-20 min
Talk to a Survey Consultant
Credit gap & drop-off triggersIdentify where MSME borrowers abandon formal credit applications and revert to informal sources.
Workaround rate & segment benchmarksQuantify informal finance reliance rates across MSME size, sector, and geography.
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CONTEXT & RELEVANCE

Why run this survey now

Most MSME lenders don't lose borrowers purely on interest rate. They lose them due to opaque eligibility criteria, collateral inflexibility, turnaround delays, informal lender trust, and misaligned ticket sizes, none of which fully show up in loan origination systems or portfolio delinquency reports.

If you are...

  • Bank competing against NBFC/fintech speed
  • NBFC scaling MSME credit products
  • Credit product or underwriting head
  • SME distribution or channel lead
  • Fintech lending growth team

You're likely facing...

  • Formal rejection driving informal workaround
  • Drop-offs at eligibility or docs stage
  • Banks: safe but slow perception
  • Informal lenders: fast but costly reality
  • Repeat borrowing outside formal channels

This will help answer...

  • Credit gap frequency by segment
  • Informal finance workaround rate
  • Formal vs informal preference drivers
  • Rejection stage and drop-off point
  • Switching triggers back to formal credit

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete MSME credit journey from first financing need to formal lender adoption.

TENETS 01

Credit Gap Frequency

  • Unmet credit demand cycles
  • Rejection rate by lender type
TENETS 02

Informal Finance Workarounds

  • Workaround channel mix
  • Moneylender vs. chit fund reliance
TENETS 03

Lender Discovery & Trust

  • First-contact lender channel
  • Peer referral vs. digital discovery
TENETS 04

Documentation Friction

  • KYC and collateral barriers
  • Drop-off at application stage
TENETS 05

Pricing & Willingness to Pay

  • Acceptable interest rate ceiling
  • Processing fee sensitivity by ticket size
TENETS 06

Repayment & Stickiness

  • Repayment cycle alignment with cash flow
  • Repeat borrowing triggers
TENETS 07

Digital Credit Readiness

  • Fintech app adoption rate
  • Account aggregator and GST-linked lending
TENETS 08

Scheme Awareness & Uptake

  • CGTMSE and MUDRA scheme recall
  • Subsidy vs. speed trade-off

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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the MSME Credit Access Gap Frequency & Informal Finance Workaround Rate Survey, 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
Measuring formal credit rejection rates by MSME tier
2
Ranking informal finance workaround frequency
3
Comparing credit gap severity across sectors and geographies
Deliverables
Credit gap index
Workaround rate matrix
Segment rejection bands
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
Quick coverage across Tier 2 and Tier 3 clusters
Deliverables
Informal finance prevalence
Cluster-level diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-frequency informal borrowers needing contextual verification
2
MSMEs in cash-intensive or undocumented credit ecosystems
Deliverables
Workaround journey maps
Cluster credit profiles
OPTIONAL
FGDs
Deliverables
Barrier themes
Messaging 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 with low digital access across Tier 2 and Tier 3 towns.
Consider adding: F2F interviews in high-density informal lending clusters and a focused FGD layer to diagnose the behavioral norms sustaining workaround finance.

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 MSME credit and informal finance space.

CASELET 1

Informal lender reliance & channel preference mapping (India)

CASELET 2

Credit rejection experience & workaround behaviour audit (North India)

Informal lender reliance & channel preference mapping (India)

OBJECTIVE

A digital-first NBFC needed to quantify how micro-enterprise owners and small traders choose between moneylenders , chit funds , and formal credit products, and identify the specific triggers that shift that choice.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 Tier-2 and Tier-3 cities, capturing credit frequency , ticket size bands , lender shortlist criteria , documentation tolerance , and turnaround expectations by enterprise type and sector.

DELIVERED

A channel preference map by enterprise segment, a ranked friction list for formal credit entry, and a set of message territories to position formal products against informal alternatives at the moment of credit need.
CASELET 1

Informal lender reliance & channel preference mapping (India)

CASELET 2

Credit rejection experience & workaround behaviour audit (North India)

Informal lender reliance & channel preference mapping (India)

OBJECTIVE

A digital-first NBFC needed to quantify how micro-enterprise owners and small traders choose between moneylenders , chit funds , and formal credit products, and identify the specific triggers that shift that choice.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 Tier-2 and Tier-3 cities, capturing credit frequency , ticket size bands , lender shortlist criteria , documentation tolerance , and turnaround expectations by enterprise type and sector.

DELIVERED

A channel preference map by enterprise segment, a ranked friction list for formal credit entry, and a set of message territories to position formal products against informal alternatives at the moment of credit need.

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 micro enterprises, small enterprises and medium enterprises?

How will you measure informal finance workaround behavior beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our MSME portfolio acquisition and retention targets?

Still have questions?

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

Book a Discovery Call