Mobile Design · Gig Economy · Audio Data · India

Feul.AI —

Rebuilding an earning

experience around pay transparency,

not engagement mechanics.

A startup was collecting Indian audio data for AI training. I was brought in

to design the mobile contributor experience — and found the real

problem was not low engagement. It was that contributors could not see

what their work was worth.

Quick overview — 15 seconds

What it is

A mobile platform that pays Indian gig workers to

record audio for AI training datasets

The problem

The founder's approach paid in points first, rupees

later — the obscuration pattern that causes gig

workers to leave without saying why

Core idea

Solve the payout model before designing any

screens.

Good UI cannot fix a broken compensation

layer underneath it.

Key decisions

The bottom navigation shows "Wallet" not

"Rewards" — first tap signals earning, not points

The rupee amount is the first and largest number

everywhere — quest cards, wallet, celebration

screen

The first session is designed to end with real

money in the wallet before the contributor leaves

Role

Product Designer, mobile

Scope

Mobile · Payout system · Design system

Type

Startup

Year

2025

Onboarding — Setting context before the first task

Brand proposition. Sets earning as

the mission.

What they're contributing and why

it matters.

The payout promise. Sets

expectation before they start.

Important before the First Earning Flow

Data Collection Consent Agree

Data Collection Consent

Recording tips

Recording tips

What Feul.AI Is and Who It Serves

Three types of users, one platform — and without contributors there are no

quests, and without quests there are no contributors.

Feul.AI pays Indian gig workers to record short audio tasks — called Quests — for AI training datasets.

Payout per clip depends on the Quest Creator's budget, language rarity, and task complexity. My scope

was the mobile experience for contributors and validators — the earning surface that was not reaching

the gig workforce.

Contributors

The Earner

Students, regional workers, dialect

speakers. Evaluating the platform in

the first session — every interaction

before the first payout is a test of

whether this is real.

Leaves if: pay is obscured, rejection

comes without reason, points show

up instead of rupees

Validators

The Quality Gate

Experienced contributors grading 40

to 50 clips per session. Want

efficiency and clear signal that their

accuracy is being recognized.

Leaves if: grading tool never gets

faster, accuracy drops without

surfacing why

Quest Creators

The Demand Side

AI startups and research labs funding

audio campaigns and receiving

audited datasets. Background

constraint throughout — not the

design focus.

No contributors means no data to sell

— the supply side has to work first

INR wallet from clip one

Earnings accumulate as real rupees from the first

submission. Every entry shows a live status:

Credited, Pending, Effort Credit, Processing. Money

is never in a black box.

First session earns real money

A voice calibration quest on onboarding bypasses

the validation queue and cannot be failed. The first

session ends with ₹50 already showing in the wallet

— proof, not a promise.

Validator accuracy as the lead metric

For validators, accuracy is the first number on screen

— above earnings. The grading interface builds

positional muscle memory after roughly 10 clips. The

tool gets faster with use.

Tiered trust, visible payouts

New contributors see money faster with a lower

threshold. Established ones get higher cash ratios

and priority access. The tier system is visible —

contributors can see what the next level unlocks.

The first earning flow — redesigned so money reaches the wallet before the first session ends:

01

Onboarding

Earning promise

set before first

task begins

02

₹50 hook

"Earn ₹50 in 30

seconds" — the

locked amount

becomes the goal

03

Calibration

quest

Cannot be failed.

Bypasses the

validation queue

entirely

04

₹50 earned

Celebration

screen. Wallet

updates before

home screen

loads

05

Home screen

₹50 showing, next

quest pre-loaded,

streak started

06

Return pull

Expiring bonuses

and streak give

reason to open

tomorrow

First Earning Flow — From hook to ₹ in wallet

First earning hook. The locked ₹50

becomes the goal.

Easy quick audio tasks.

Wallet updated before home

screen loads.

₹50 visible, next quest pre-loaded,

streak counter active.

Solving the Payout Model Before Designing Screens

The founder's initial plan paid in points. Changing this came before any UI

work.

The founder's early product was functional but built around a points-first model — contributors earned

points per clip and converted them to INR above a threshold. The approach was operationally simple

but matched the exact pattern that causes gig workers to quietly drop off: they could not see what their

work was worth in rupees, so they assumed something was wrong.

The reframe I proposed

Founder's plan

Points first, convert to cash later above a threshold. Operationally clean, no upfront

payout complexity.

The finding

Workers don't leave because pay is low. They leave because pay is obscured. They assume

something is wrong, don't complain, and stop opening the app.

The proposal

INR visible from clip one. Wallet as the central UI surface. Rupees always the primary

number, everywhere.

Before designing any screen, I evaluated three payout models to determine which one could actually

support the INR-first principle:

Model A

Direct UPI per clip

Pay the moment a clip is approved. Transparent — but UPI transaction fees

per micro-payment add up fast at scale.

Eliminated

Model B

Points first

Earn points, convert to INR above a threshold. Operationally simpler — but

this is exactly the obscuration pattern that drives drop-off.

Eliminated

Model C

INR wallet

Earnings accumulate as real INR in a platform wallet. Weekly withdrawal

above a threshold. INR visible from clip one. Batch withdrawals keep

transaction costs lower.

Chosen

Model C had one remaining issue: a ₹500 withdrawal threshold creates a retention cliff for new

contributors who complete many clips before seeing any money move. The tier system below solves it

by making the threshold and cash ratio scale with contributor trust level.

Level

Threshold

Cash %

Design intent

Level 1–2 — New

₹50

welcome

bonus

60%

Money in wallet before the first session ends. Platform passes

the trust test immediately.

Level 3–4

Established

₹300

85%

Priority quest access and higher-value tasks unlock. Trust

earned — reward it.

Level 5+ — High-

rep

₹500

100%

Clips bypass manual validation — near-instant confirmation.

Full trust, full cash.

The specific thresholds (₹50 / ₹300 / ₹500) are design hypotheses — they need A/B testing against real contributor

activation data before being locked in.

Wallet balance and history

All earnings status

Amount input - 1st step

Confirmation - 2nd step

Withdraw Initiated

Low Balance withdraw attempt

Key Design Decisions

Three decisions that translated the payout reframe into interface choices.

01

Wallet over rewards

Information architecture

✗ Original structure

Home · Quests · Rewards · Profile. Positions the

platform as a gamification product. Wrong signal for

a worker deciding if it's worth their time.

✓ Final structure

Home · Quests · Wallet · Profile. XP rewards and

voucher redemption moved to Profile under "Perks

and Multipliers," collapsed by default.

Why this mattered

Navigation is the product's first statement about itself. Having Wallet in the navigation over rewards tells contributors that earnings come first — before they have read a single piece of content. Gamification becomes harder to discover as a tradeoff, and that tradeoff is deliberate. The nav sets the relationship between the platform and the contributor before anything else does.

Old Rewards hub

Rewards available through profile

New XP Rewards Hub

Rewards Screens

02

The rupee amount is always the first and largest number shown

Display logic

✗ Original pattern

"⚡ 150 pts (≈ ₹15)" — points as headline, rupees as

footnote. Positions the product as a game first, an

earning platform second.

✓ Final pattern

₹15 in accent green, prominent. +150 XP in muted

text, smaller. Consistent across quest cards, wallet

entries, celebration screen, and onboarding.

Why this mattered

When two numbers are both present, the one shown first and larger is the one that frames the product's

relationship with the contributor. XP motivates return visits — but it should never compete with the rupee amount

for someone deciding whether this is worth their time. Rupees first is a consistent signal at every touchpoint, not

just a display preference.

Old Rewards hub

Rewards available through profile

New XP Rewards Hub

Rewards Screens

03

The first session must end with real money already in the wallet

Onboarding architecture

✗ Original flow

Onboarding, then task list, pick a quest, submit, wait

for validation, get paid eventually. Five potential

drop-off points before any reward reaches the

contributor.

✓ Redesigned flow

"Earn ₹50 in 30 seconds" hook, then a voice

calibration quest that bypasses the validation queue

and cannot be failed. First session ends with ₹50

already showing in the wallet.

Why this mattered

Every interaction before the first payout is a test of whether this platform is real. The calibration quest makes the

platform pass that test in the first session — not the second or third. The ₹50 is not a welcome bonus. It is the

design making a promise and then immediately keeping it. A contributor who earns in session one has a concrete

reason to open the app tomorrow.

Honest Reflection

What are hypotheses. What is a real risk I surfaced rather than leaving

unaddressed.

Numbers I called hypotheses

The tier thresholds (₹50, ₹300, ₹500) and cash ratios

(60%, 85%, 100%) are design assumptions — not

validated numbers. I named them explicitly as

hypotheses requiring A/B testing against real

contributor activation data. Presenting them as

designed precision would be dishonest about the

actual state of the work.

A system risk I flagged

The ₹50 welcome bonus can be gamed by submitting

random audio quickly. I proposed requiring a

minimum number of accepted clips — not just

submitted ones — before the first withdrawal unlocks.

Invisible to honest contributors, but catches obvious

gaming early. I surfaced this rather than leaving it as

an engineering problem.

The wallet shows pending earnings — not just credited ones. Money is never in a

black box. That is the entire design philosophy in one sentence.

The full case study covers the complete earning system

Validator UX and grading interface design, all five design decisions with full

reasoning, the gamification tradeoff analysis, urgency tag design rationale,

the Data Vault privacy feature, all screen walkthroughs, and the complete

design system.

Full case study