Loyalty programs are everywhere, but most people have no idea what they've accumulated or how to use it. Points expire silently. Redemption is buried in apps nobody opens. Loop consolidates every program in one place and makes points feel like real money — not digital dust.
Design goalTurn scattered points from many brands into one clear, actionable value — so you know when and where it's worth redeeming.
Loyalty programs fail because users accumulate points across brands but never use them. They don't know their balance, don't understand redemption value, and forget about points until they've already expired.
One person kept showing up in the research: someone who shops constantly, earns points everywhere, and benefits from almost none of them.
Shops across 6–8 retail brands regularly and has loyalty accounts at most of them. Checks his points maybe once a year — and has lost points to expiration without ever noticing.
Three products in the loyalty and stored-value space, measured against the four things that turn points into action.
No app today combines multi-brand aggregation + real-money translation + proactive expiry alerts in a clean, consumer-friendly experience. That's Loop's space.
Each one targets a specific reason points go to waste — and each shows up directly in the screens.
Every balance is shown in both points and an estimated dollar value. "3,400 pts ≈ $34" makes the value tangible and drives redemption behavior — you stop guessing whether points are worth chasing.
Loop surfaces expiring points as the primary alert type. "Your Nike points expire in 8 days — redeem for a $12 discount." It creates urgency, but always pairs it with a concrete, rewarding next step.
Instead of navigating one brand at a time, the home shows total loyalty value plus a ranked list of brands by balance. One glance equals the full picture — no app-hopping required.
A curated feed of redemption options the user can actually afford with their current balance, ranked by value. It turns a forgotten pile of points into a set of active, rewarding decisions.
A high-contrast light system: one vibrant orange that owns action and urgency, a disciplined neutral scale, and a type trio that's expressive in display and rock-solid in data.
Not screenshots — real, navigable screens. Start at onboarding, move through the bottom tabs, open an expiry alert, browse what you can redeem, and drill into a single brand.
Loop pulls every loyalty program together and shows what it's really worth — in money, not mystery points.
Don't let them turn back into nothing. Here's what they're worth right now.
A self-initiated project built to demonstrate the full arc: problem definition, user research, competitive analysis, a documented design system, and a working interactive prototype.
AI didn't design Loop — it compressed the mechanical work so the time went to judgment. Benchmarking, copy iteration, edge case testing: all accelerated. The decisions — what to show, what to hide, what to translate into money — those were mine.
I compared Stocard, Gyft and Starbucks Rewards and clustered the gaps into four: no multi-brand aggregation, no real-money translation, no expiry alerts, no redemption discovery. The brief wrote itself from the patterns.
I used AI to pressure-test the points-to-currency conversion logic — what exchange rates to use, how to handle programs with non-standard point values, and how to communicate estimated value without overpromising.
I iterated the microcopy until it sounded like a smart friend who helps you get more from what you already have — never promotional, never vague. 'Your Zara points expire in 5 days' beats 'You have expiring rewards'.
I used AI as a devil's advocate: what if a brand leaves the platform? what if points have no monetary equivalent? what if the user has zero balance? Every edge case surfaced before the first screen was built.