• Fundu · Consumer lending · 2019–22
  • 8 min read · 11 chapters

Designing a lending app people came back to.

A consumer loan aggregator for India, built from zero as the only designer. Live in five months, then iterated for three years.

ROLE
Sole UX/UI designer, reporting to the CEO
TEAM
CEO as PM · 15–20 engineers · marketing owned acquisition
WHAT I DID
Research, IA, flows, UI, handoff · Android · 100+ screens
TIMELINE
Jul 2019 – 2022 · live Dec 2019
Play the problem

scrub 27 screens down to 10

Fundu home screen: Fundu Cash balance, apply for a loan or a job, and a grid of things to do
Fundu Marketplace screen listing a watch, a radio, a lip balm and sneakers
Fundu Games screen with Spin the wheel and Pacman, and a points balance

74%
of applicants finished, after the redesign
~20%
fewer drop-offs
27 → ~10
onboarding screens
10
product surfaces, designed solo

74% is an absolute completion rate, not a lift. 3M+ installs in year one were marketing-led, so they aren’t claimed as a design outcome.

The case in 30 seconds

busy? this is the whole story

PROBLEM

People started loan applications and didn’t finish them.

  • 27 screens
  • 10+ lenders

INSIGHT

Ask once, ask late. Collect the shared core one time, defer the rest.

  • Ask once
  • Ask late

WHAT I BUILT

A ~10-screen flow, then a 10-surface ecosystem to come back to.

  • 27 → ~10
  • 10 surfaces

IMPACT

74% finished the application. Drop-offs fell by about a fifth.

  • 74% completion
  • −20% drop-offs

“Compete with a market leader.”

That was the brief. No target, no defined user, no success metric. It started as a side project.

  • No target user
  • No success metric
  • No defined problem

defining the problem was the first deliverable

01 · The brief

The research came from live campaign data.

The parent company ran lead-generation campaigns for the competitors. That meant real performance data on the Indian lending market before a single screen existed.

  • Sat with marketing and analysed campaign performance across competitor accounts.

  • Ran hands-on teardowns of the competitor apps myself.

  • Looked at which messages converted, and for whom.

Two cohorts, split on financial literacy × ticket size.

Suresh, 35

Higher literacy · larger ticket

CONVERTED ON
Rate comparison, speed
NEEDED
Options and control

Priya, 28

Lower literacy · smaller ticket

CONVERTED ON
Eligibility, reassurance
NEEDED
Guidance and clarity

personas came out of the evidence, not before it

02 · Research

People started applications. They didn’t finish them.

  • 27 screens, one input per page

    Built as a questionnaire, not a form.

  • Every lender asked again

    10+ lenders, each with different requirements. Apply to three, fill three sets of details.

  • The heaviest asks came first

    Documents and verification landed before the user had seen a single offer.

Old application flow, step 1 of 27: Select your loan amount, ₹10,000
Old application flow, step 11 of 27: How many years have you worked at your current company? 2 years
Old application flow, step 19 of 27: How many years have you lived at your current address? 4 years

one question per screen, 27 times over

03 · The application problem

Ask once. Ask late.

One common data core, collected a single time, then mapped to every lender’s requirements behind the scenes.

Common core

The shared set every lender needs, captured once at onboarding.

No repetition

Apply to any lender without refilling anything.

Deferred documents

Lender-specific uploads only after the user picks a lender.

Motivated ask

By then they’ve seen an approved offer and a real number.

Sequenced by motivation

  1. Common coreasked once
  2. Offers shownreal numbers
  3. Picks a lendercommitment
  4. Lender documentsasked late

the heaviest ask sits at the point of highest commitment

27 screens → ~10. Same data, a fraction of the taps.

BEFORE · 27 SCREENS

AFTER · ~10 SCREENS

27 screens10 screens

27 screens.

The new flow, screen by screen

~10 screens
  • 01
  • 02
  • 03
  • 04
  • 05
  • 06
  • 07
  • 08
  • 09
  • 10

04 · The decision

More people finished asking for a loan.

  • 74%

    of users who started the application completed it

  • ~20%

    fewer drop-offs across the flow

Measured before and after in the marketing team’s funnel reporting. 74% is a completion rate; ~20% is a reduction. They are different kinds of number.

05 · Act 1 result

People applied once, then never opened the app again.

Loans are infrequent by nature. There was nothing to come back to, and an app nobody opens can’t earn beyond a single transaction.

The proposal on the table: one rotating banner.

1 banner, 1 message

  • Wants a bigger loan
  • Wants reassurance
  • Wants to invest
  • Wants deals
one size fits nobody ✗

06 · New problem

Advertising people choose to open is a product problem.

Instead of a banner, a categorised ecosystem, where the commercial inventory becomes useful surfaces rather than interruptions. It was my proposal in response to the banner request.

A single banner serves one interest to an audience with many.

Categorised surfaces mean every user has something relevant to open.

Relevance beats repetition: same inventory, placed where it’s wanted.

Ten surfaces. All designed solo, all shipped.

  • Fundu Cash
  • Fundu Card
  • Fundu Club
  • Fundu Shop
  • Fundu Marketplace
  • Fundu Trade
  • Fundu Health
  • Fundu Games
  • Refer a Friend
  • Upload Documents
  • Fundu Marketplace: public listings of watch, radio, lip balm and sneakers with prices

    Sell and buy near you

  • Fundu Trade: invest the smarter way, open a demat account with partner brokers

    Open a demat account

  • Fundu Health: health checkup with 82 tests, sample collected from home

    Health checkups at home

  • Fundu Cash: balance of ₹533 with a withdraw button and bank details

    Points become real cash

same inventory, now something you’d actually open

07 · Banner → ecosystem

100+ screens, one designer.

A tour of the shipped Android app, grouped by what people came to do. Swipe a row, tap any screen to open it full size.

Shipped 2020–21 · visuals refreshed 2026

Up close: the home screen

Home screen up close, with markers 01 on the money card, 02 on the apply cards and 03 on Things to do

Home & credit

3 screens

Loan journey

6 screens

Ecosystem

6 screens

Rewards

3 screens

08 · The UI, up close

Fundu Games. My idea. It failed.

The thesis: loans are infrequent, so manufacture a reason to return. Play games, earn points, redeem them. Then the ecosystem shipped, and people had genuinely useful reasons to come back.

Manufactured engagement loses to real utility.

What I did with it instead

Coins became the currency for offers: earned through play, spent on deals.

Paces inventory

Without it, a user clears every offer on day one and finds an empty screen the next.

Creates earned value

An offer you unlocked reads as worth more than one that was just sitting there.

“Wasn’t that just friction in front of ads?”

Playing was quick and optional, and the loan product was never gated. It only applied to the deals layer, which would otherwise empty in a single session.

Fundu Games screen: play a game, win points, with spin the wheel and PacmanFundu Shop screen: redeem your points for a watch, sneakers, a camera or a phone

09 · What I got wrong

From a one-time tool to an app with a reason to return.

  • 74%

    application completion after the 27 → ~10 restructure

  • ~20%

    fewer drop-offs

  • 10

    ecosystem surfaces shipped, solo

The app also reached 3M+ installs in its first year. That was driven by the parent company’s performance-marketing engine, so it’s company context, not a design claim. What happened after install was mine.

One profile, ten lenders

Users stopped repeating themselves.

A reason to return

A single-transaction product became a recurring one.

A second revenue line

Advertising inventory found a home users would actually open.

10 · Impact

What I’m taking with me.

Ambiguity is the design job

“Compete with a market leader” only became a problem because someone defined it.

Real utility wins

Real utility beats manufactured engagement. People return for things worth returning to, not for points.

Ask once, ask late

Collect the shared core one time; defer everything specific until the user is committed.

Evidence earns decisions

With no formal process and no authority, campaign data and funnel numbers moved the arguments.

11 · Takeaways

Thanks for reading.

Same instinct, different world: let the evidence decide. Next, a project where the research rewrote the brief.

Next · Rasoi

MEAL PLANNING · 2026

Rasoi Today screen: what’s for lunch, with three dishes you can cook nowRasoi cook mode screen: temper the jeera, step 3 of 7Rasoi cook view screen: today’s food for the household

Decide, don’t plan.

We were asked for a meal planner. The research said people don’t plan, they decide. So I designed for the decision.

57%of 99 surveyed don’t plan

51screens, solo

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