NBFI & CORPORATE LENDING

NBFI Corporate Client Unmet Credit Assessment & Digital Lending Support Survey

Corporate treasury teams and CFOs evaluate, compare, and navigate credit accessibility, digital onboarding friction, and lender responsiveness across NBFIs, so you can sharpen acquisition targeting, fix pricing gaps, and strengthen channel conversion.

Pan-India Sample
Corporate Borrowers (CFOs / Treasury Heads)
15-20 min
Talk to a Survey Consultant
Credit gap & drop-off signalsIdentify where corporate applicants stall, disengage, or reject NBFI credit offers.
Digital lending benchmarks & trade-offsBenchmark turnaround expectations, digital tool gaps, and approval-stage friction points.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31

CONTEXT & RELEVANCE

Why run this survey now

Most NBFIs don't lose corporate clients purely on credit pricing. They lose them due to opaque assessment criteria, slow digital onboarding, misaligned facility structures, weak relationship touchpoints, and poor post-disbursement support, none of which fully show up in loan management systems or portfolio dashboards.

If you are...

  • NBFI vs bank corporate competition
  • Credit product head, mid-market
  • NBFI positioning on speed, flexibility
  • Digital lending transformation lead
  • Corporate banking growth head

You're likely facing...

  • Assessment criteria: opaque vs transparent
  • Drop-offs: digital onboarding stage
  • NBFIs = fast/costly perception
  • Banks = credible/rigid perception
  • Facility renewal: switching risk gap

This will help answer...

  • Credit assessment unmet needs
  • Digital journey drop-off stage
  • NBFI vs bank segment fit
  • Pricing, tenure, structure gaps
  • Renewal and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete corporate borrower journey from credit need identification to facility renewal.

TENETS 01

Discovery & Trust

  • First NBFI approached, trigger event
  • Referral source, channel of first contact
TENETS 02

Preference Drivers

  • NBFI vs. bank selection criteria
  • Facility type preference, tenure fit
TENETS 03

Credit Assessment Gaps

  • Unmet data needs during underwriting
  • Assessment model transparency, borrower feedback
TENETS 04

Journey Friction

  • Drop-offs across application stages
  • Documentation burden, re-submission cycles
TENETS 05

Pricing & WTP

  • Effective interest rate vs. benchmark spread
  • Fee sensitivity, prepayment penalty tolerance
TENETS 06

Digital Lending Readiness

  • Portal adoption, self-service capability gaps
  • API integration, ERP connectivity needs
TENETS 07

Relationship & Support

  • RM responsiveness, escalation access
  • Post-disbursement servicing quality
TENETS 08

Competitive Positioning

  • Multi-lender strategy, wallet share split
  • Switching triggers, retention barriers

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 NBFI Corporate Client Unmet Credit Assessment & Digital Lending Support 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
Quantifying unmet credit gaps by corporate segment
2
Ranking digital lending feature priorities
3
Benchmarking NBFI satisfaction across industries and ticket sizes
Deliverables
Credit gap matrix
Feature priority ranking
Segment satisfaction scores
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Mid-market corporates with low digital survey engagement
2
Rapid coverage across multiple regional lending clusters
Deliverables
Regional coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large-ticket borrowers requiring relationship-level verification
2
Corporates in concentrated industrial or trade finance clusters
Deliverables
Cluster credit profiles
Borrower journey maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Proposition 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 quantitative layer, supported by CATI for mid-market and regionally dispersed corporate clients with lower digital survey participation.
Consider adding: Face-to-face interviews for large-ticket or strategically important borrower segments, plus a focused FGD layer to pressure-test digital lending propositions and refine credit product messaging.

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 NBFI corporate lending space.

CASELET 1

Corporate borrower channel preference & lender switching triggers (India)

CASELET 2

Unmet credit need depth & product gap diagnosis among growth-stage firms (India)

Corporate borrower channel preference & lender switching triggers (India)

OBJECTIVE

A digital-first NBFC needed to isolate why mid-market corporates and emerging enterprises shifted credit relationships between banks and NBFIs, and which service and speed dimensions drove or stalled that switching decision.

WHAT WE DID

Ran a structured quant survey across 180 corporate finance leads in six cities, capturing lender shortlist composition, switching triggers, turnaround time benchmarks, documentation friction scores, and relationship tenure by borrower revenue band.

DELIVERED

A lender switching trigger map by borrower segment, a ranked friction list across the credit application journey, and a set of channel levers to convert first-approach corporates before incumbent lenders re-engage.
CASELET 1

Corporate borrower channel preference & lender switching triggers (India)

CASELET 2

Unmet credit need depth & product gap diagnosis among growth-stage firms (India)

Corporate borrower channel preference & lender switching triggers (India)

OBJECTIVE

A digital-first NBFC needed to isolate why mid-market corporates and emerging enterprises shifted credit relationships between banks and NBFIs, and which service and speed dimensions drove or stalled that switching decision.

WHAT WE DID

Ran a structured quant survey across 180 corporate finance leads in six cities, capturing lender shortlist composition, switching triggers, turnaround time benchmarks, documentation friction scores, and relationship tenure by borrower revenue band.

DELIVERED

A lender switching trigger map by borrower segment, a ranked friction list across the credit application journey, and a set of channel levers to convert first-approach corporates before incumbent lenders re-engage.

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-dependent corporates, NBFI-primary borrowers and multi-lender corporates?

How will you measure credit assessment preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our corporate client acquisition and retention pipeline?

Still have questions?

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

Book a Discovery Call