Feature concept for super.money
Borrow what you can repay
The offer card shows the most a lender will give. This concept adds a scale to the same card that marks the amount that fits your month, and an info icon that opens the details in a bottom sheet.
Why we are doing this
More first-time borrowers, taking credit they can repay
One goal for the business and for the borrower: a first loan that is taken, understood and repaid, so the borrower comes back for the next one.
For super.money
- Loans bring in most of the revenue (about 80%, per the CEO in October 2025), so every first loan that is taken counts.
- Today the offer card shows only the maximum. With no monthly payment or total, a borrower who cannot judge the cost may leave, or take more than they can repay.
- A borrower who repays comfortably returns for a second loan and a higher limit. Defaults and complaints do the opposite, and lenders notice.
For the borrower
- Know what they will pay each month and in total before they agree.
- See an amount that fits their month, with the reason in plain words.
- Stay in control: pick any amount up to the maximum, with the cost shown.
Trade-off we accept: some borrowers will choose less than the maximum. We watch average loan size, but it is not the target.
What the app shows today
The offer card and the sheet we reuse
Everything we change sits on one screen and one sheet that already exist.
- Only the maximum, ₹50,000, is shown.
- Rate is per month and tenure is "up to 24 months". No monthly payment or total to repay.
- No smaller amount to choose.
- A bottom sheet with a violet title and a lime "Okay, got it" button.
- The text is general. It does not say why this amount was given to you.
Walk through it
Same screen, three additions
Use the steps or tap the phone. Drag the scale on the card, tap the info icon, then change the tenure in the sheet.
Behind the number
How the safe limit is worked out
Example borrower: salaried, take-home ₹30,000 a month, one existing EMI. The same steps run for every borrower with their own inputs.
The arithmetic
EMI uses the standard reducing-balance formula at 2.08% a month.
The rules behind it
- Stress the bills. Essentials get a 10% buffer so one bad month does not break the plan.
- Use only part of what is left. The comfortable EMI is 40% of free cash, so the rest stays as a cushion.
- Start short. First loans are sized for 6 months or less, so the debt ends quickly and costs less.
- Never above the lender's maximum. The safe limit is a recommendation. The borrower can still pick any amount up to the maximum, with the cost shown.
- Round down to the nearest ₹1,000.
Why not just show the maximum?
Same 2.08% a month. The EMI on the bigger loan (₹2,668) looks lower than on the smaller one (₹3,222), which is how a long tenure hides the cost. The sheet shows the total next to the EMI for this reason.
Where do the expenses come from?
We do not know them, so the limit is only as good as the data behind it. The sheet says which level it used.
- Level 1: income and EMIs only. Income comes from what the borrower tells us. Existing EMIs come from the credit report. Expenses are not known, so the limit uses a flat, conservative share of income.
- Level 2: add one question. "Roughly what do rent, bills and food cost you each month?" We add the 10% buffer on top. The example on this page uses this level.
- Level 3: add the bank statement. With the borrower's consent we read recurring debits, rent, bills and month-end balance. In India this usually runs through an Account Aggregator. Optional, and the limit is more accurate with it.
Self-declared numbers can be wrong, so the buffer and the conservative share stay on at every level.
How we would know it works
Test it before rolling it out
Show the new card to one random group of users (TG, the target group) and today's card to another (CG, the control group). Then compare.
The set-up
- Who: first-time borrowers who see the offers screen.
- Split: each user is put in TG or CG by chance, once, and stays there. TG sees the scale and sheet. CG sees today's card.
- Start small: TG at 5% of users, then 20%, then 40%, only if nothing breaks.
- How long: until each group is big enough to show a clear difference, and the first EMIs have fallen due (about a month after the loan).
The metrics
| Metric | What it measures | When we read it |
|---|---|---|
| Main metric: more users taking credit, and repaying | ||
| Healthy first loans | Of everyone who saw the offers, how many took a loan and paid the first EMI on time | After the first EMI is due |
| Take-up | Of everyone who saw the offers, how many took a loan within 7 days | 7 days |
| On-time first EMI | Of the loans taken, how many paid the first EMI on time | First EMI due date |
| Later: read, but we do not wait for them | ||
| Late payments | Of the loans taken, how many are more than 30 days late by day 90 | Day 90 |
| Repeat borrowing | Of borrowers who repaid, how many take another loan within 90 days | Day 90 |
| Early signals: is the new screen being used? | ||
| Safe-amount choice | Of the loans taken, how many are at or below the safe amount | Weeks 1 to 2 |
| Applications started | Of everyone who saw the offers, how many start an application | Weeks 1 to 2 |
| Amount chosen | Average loan amount compared with the maximum offered | Weeks 1 to 2 |
| Cost complaints | Support contacts about cost, per 1,000 users who saw the offers | Weeks 1 to 2 |
| Must not get worse | ||
| Loan value | Rupees lent per 100 users who saw the offers. It may dip a little. | Weekly |
| Leaving the screen | Of everyone who saw the offers, how many leave without tapping anything | Weekly |
| Time to apply | Typical time from the offers screen to a submitted application | Weekly |
Healthy first loans = take-up × on-time first EMI. If it moves, these two show why.
Target and limits: before the test, we set how much healthy first loans must rise, and how far each "must not get worse" metric may move. Both come from actual data points, such as today's rates.
What we decide
- Scale up (TG to 20%, then 40%) if healthy first loans reach the target and the "must not get worse" metrics hold.
- Ship, after the business checks loan value, if fewer people take loans but more repay on time and healthy first loans reach the target.
- Fix and retest if healthy first loans miss the target and fewer people take loans. Try a shorter sheet or a softer scale.
- Pause if more people take loans but fewer repay on time. Find which users cause it.
- Do not ship if TG and CG show no difference.
One rule: always compare all of TG with all of CG. Comparing only people who chose the safe amount would be unfair, because they would have been careful anyway.