Case study · Mobile app
Social Crypto Trading
A trading app where people follow experienced traders, see their live positions, and learn from how they trade, instead of guessing alone.
Challenge
New traders copy people they don't understand. Most trading apps show numbers, not the person behind them.
Profiles were walls of stats. You could see a return percentage, but not how someone trades, what they hold right now, or whether their wins came from luck or a repeatable habit.
That made following a trader feel like a blind bet, so people either never followed anyone or followed the loudest account.
Approach
Make a trader's profile read like a story: who they are, how they've done, and what they hold today.
I focused on three questions a new trader asks in the first ten seconds on a profile:
- Can I trust them? Verified badge, followers, and a clear track record.
- How have they done? One total PnL number with a simple chart and time ranges.
- What are they holding? Live positions with entry, current value, and change.
BeforeAfter
Process
From sketches to a profile you can scan in one glance.
I mapped what traders look at first, sketched layouts that put trust and performance above the fold, then tested the hierarchy with a few traders before moving to high fidelity.
Result
A clearer profile that helps people decide who to follow, faster.
Add what changed after launch: numbers, quotes, or what you learned.