The Indian Digital Credit Market Research report: Speed matters, but does not explain every loan

Speed is the most common named reason in 20.1% of recorded borrowing events in Relvo’s research. Most events have an unspecified or other reason.

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  • Speed is the most common specifically named reason, appearing in 20.1% of recorded borrowing events.
  • 67.1% have an unspecified or other reason, limiting conclusions about what drives borrowing overall.
  • Speed-related opinions and completed borrowing accounts are different evidence sets.

Speed appears as the most common specifically named reason in 20.1% of recorded borrowing events in Relvo’s digital-credit research (n=283), snapshot dated 2 October 2026. Most events, 67.1%, have an unspecified or other reason. Speed is visible, but the research does not show that it explains most borrowing.

How to read the numbers: Shares describe sampled accounts or opinions, with their bases shown. Reviews were sampled across star ratings, which over-represents critical voices. Separate evidence sets can come from the same accounts. Small bases are indicative; bases below 10 are reported directionally.

How borrowing accounts describe their reasons. Unspecified or other reason: 67.1%; Speed: 20.1%; Urgent need: 5.3%; Remaining coded reasons: 7.4%. Base: recorded borrowing events (n=283); rounding applies. Source: Relvo research, snapshot 2 October 2026.
Share of recorded borrowing events. Base: recorded borrowing events (n=283); rounding applies. Source: Relvo research, snapshot 2 October 2026. Reviews sampled across star ratings; critical voices over-represented. Not loan transaction data and not a representative survey.

An account praising speed can concern how quickly the process moved. It does not automatically tell a product team which step mattered: application, decision, access to funds or a later service interaction. A useful follow-up identifies the step before drawing conclusions about the whole experience.

The India digital credit market research also codes decision-speed opinions separately. They are favourable more often than unfavourable, but opinions are not additional borrowing events. Combining praise with completed borrowing would blur what the evidence actually records.

Product teams can examine speed alongside understanding of the outcome. What did the applicant think would happen next? Did the status shown correspond to the step reached? Which delay did the borrower find consequential? Those questions provide a clearer test than treating all fast interactions as the same benefit.

Relvo’s consumer behavior evidence describes stated reasons and experiences. It does not prove that faster decisions cause borrowing, improve repayment or compensate for concerns about costs and service. Nor does it establish a processing-time benchmark for any lender. Such claims would need operational and application-level data.

Questions about the research

Does the report show that most borrowers choose an app for speed? No. Speed is the most common specifically named reason in this event set, but most recorded borrowing events have an unspecified or other reason.

Is this based on lender transaction data? No. It uses coded borrower accounts and opinions. It is not loan transaction data and not a representative survey.

Related research: The India Digital Credit Market Report, 2026 on NBW Brain examines borrower decisions, experiences and behavioural patterns, with evidence available through its Market Brain.

Methodology

Source: Relvo digital-credit research, snapshot dated 2 October 2026. Borrower accounts and opinions are coded to a fixed codebook with evidence and coding checks. Accounts span October 2025–October 2026. Reviews were sampled across star ratings; critical voices are over-represented. Each share refers to the event, profile or opinion set named alongside it. A profile is a coded account, not a verified unique borrower or credit file. Opinion and action layers may overlap. Bases of 10–29 are indicative; bases below 10 are reported directionally. Findings do not establish population prevalence, loan approval rates, legal breaches or causal effects.

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