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IndustryFintech

Fintech market research

See where a money app loses trust, from the identity check and first deposit to the product left unopened, and what customers check before moving a salary.

Stalled between sign-up and first deposit

Each request a money app makes, an ID scan, a selfie, a linked bank account, is a point where a cautious customer can stop.

  • Stalled users, uploaded from product data

    Upload segments of people who stopped at the ID check, never funded an account or went quiet after one payment, and invite each to say where and why they stopped.

  • Each product line studied on its own

    Recruit each product line, lending, cards, UPI, investing and payments, as its own group with its own profile and screener, since borrowers and people paying a friend check different things.

  • The checks before trusting it with a salary

    Ask what a customer checks before moving a salary or savings in: the license, reviews from people like them, who holds the deposits, what happens if the company fails.

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Where confidence drops, stage by stage

A customer who stops at verification and one who never tries savings are making different judgments, and each needs its own reading.

  • ID scan, selfie, first deposit

    Pulse groups what stalled customers said into themes, with the quotes behind each, so the owner of the ID scan or the first deposit reads the doubts that step raised.

  • Why the second product stays closed

    Ask card users why they never opened the savings or investment product beside it. Where the answer is a belief, a hidden fee, a lock-in, a risk to their money, one screen may correct it.

  • The fix that reaches the most stages

    Ship first the change that answers a doubt raised at several stages, such as a plain line on why the app asks for a selfie and who sees it.

How Pulse does it

  1. Name the stalled stage

  2. Invite users who stopped there

  3. Locate the screen behind each doubt

  4. Fix the doubt most stages share

How it works

Lending

Recent applicants, approved and declined, show where an application feels intrusive, which terms confuse and what makes an offer feel fair.

Credit cards

Cardholders say which benefits they value, which they ignore, and why a card moves to the back of the wallet.

UPI

Frequent and occasional users say which app they open first, what makes a payment feel safe and how a failed transfer lands.

Investing

First-time and experienced investors show what the product must explain and what prompts them to invest more.

Payments

Consumers and merchants show where checkout, onboarding, fees and settlement create friction, and what would make a merchant switch.

The method behind it

People hand a new app their identity documents, then their bank details, then their salary, and each step asks for more trust than the last. Onboarding research with recent sign-ups shows where verification feels intrusive and where it reassures. Activation research asks why accounts are opened and never funded, and cross-sell research why customers who use one product ignore the others. Regulation fixes some of what an app must ask and disclose, so findings should separate a requirement customers dislike from a design choice the team controls. Customer journey mapping ties these studies together, treating each trust decision, from the first download to the first salary paid in, as a stage.

Trust gaps a money app can close

Money sent to the wrong person

Customers who asked for a reversal describe in an AI-moderated interview what the app told them and when; the payments team reads the themes, each quote traced to its transcript.

Salary at the old bank, spending here

Some people use a money app for spending and keep their salary at their old bank. A screener built on how people split their money finds them, and they tell the product team what would make the app their main account.

A genuine payment, blocked

Upload the customers whose genuine payment was declined and let the AI moderator build on each earlier answer and ask again after a vague one, so fraud operations reads which message, or which silence, sent them back to their old bank.

Money questions without a call

With nothing to book, a customer can take the interview in private, on a phone or a laptop, and describe debt or a fraud scare in their own time. Pulse redacts personal data from the transcripts the team reads.

In the language the money is managed in

A customer who manages money in Hindi or Tamil explains a worry more clearly in that language. Every Indian language can be run on request, and one study can run across several markets at once, with the findings back in one place.

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