A clean redesign concept for a sports-retail app — browse a huge multi-sport catalogue, filter fast, and check out in a few taps.
Unofficial concept redesign — not affiliated with Decathlon.



Sixty sports, thousands of SKUs, one buyer: a redesign where narrowing — not browsing — carries the whole experience, from a broad query to a checkout that never surprises on price.
A catalogue this wide is a gift on the shelf and a liability on a phone screen. Decathlon sells sixty-plus sports and thousands of product lines; the person opening the app wants one pair of running shoes. This redesign concept treats that mismatch as the entire brief — I designed it end to end (information architecture, flows, UI, design system) so that narrowing, not browsing, carries the experience from "I need shoes" to a confirmed order.
Unofficial concept redesign. "Decathlon" and its logo are trademarks of their owner; this project is not affiliated with or endorsed by Decathlon.
Decathlon is a sports retailer with an unusually broad catalogue — 60–70+ sports and thousands of product lines, sold largely under its own portfolio of in-house "passion" brands like Quechua, Domyos, B'Twin, Kipsta, and Kalenji. It runs roughly 1,900 stores across 80+ countries, so the app isn't a niche store — it's a front door to a vast, sport-segmented range, with a real need to find product, check stock, and locate a store nearby.
That scale is the whole design problem. A catalogue this wide is a gift on the shelf and a liability on a phone screen, where one person is trying to find one pair of shoes. This concept reimagines the app around that tension.
The hard part isn't showing the range — it's helping one person cut through it quickly.
A sports retailer's catalogue spans dozens of sports and thousands of products. For the user, all that breadth turns into friction: too many paths, slow narrowing, and product lists that don't reliably get you to the right item. Reviews of the live app echo this — people praise the range but report navigation and filtering complaints and product-listing errors, with filter suggestions flagged often enough to reach the product team. For the business, every extra tap between intent and checkout is a place to lose the sale.
So this redesign focuses on three things: fast discovery (categories, search, filters), product pages that make the buying decision easy, and a short, confident checkout. The constraint underneath all three is the catalogue's size — which is why discovery and narrowing carry the design rather than the home page alone.
Each goal names the published research signal I'd test it against.
A broad query like 'running shoes' narrows to the right pair in a tap or two.
Filter chips plus a full filter sheet, with option counts so no facet leads to a dead end.
Baymard-aligned · untestedNo one hits a zero-result dead end.
Match counts shown on every filter option — the pattern Baymard finds only ~16% of sites get right.
Verified in the designCheckout stays short and unambiguous at the moment most carts are abandoned.
Three steps, one primary action each, and the full cost shown before commit.
Baymard-aligned · untestedThis concept leans on published e-commerce research and a teardown of the live app; nobody was tested. Where a claim has a Baymard number behind it, I cite it — and where it doesn't, it's labelled design intent. Four things drove the direction.
The catalogue's scale is the core constraint, so narrowing has to lead.
With 60–70+ sports and thousands of products across 80+ in-house brands, the design can't lean on a home page to do the work. That's why the flow runs categories → search → filter chips → full filter sheet, and why I treated filtering as a headline rather than an afterthought — which the live app's own filter complaints reinforce.
Faceted filtering has a documented "good" pattern, and most retailers miss it.
Baymard's filter research and mobile faceted-search write-ups point the same way: show match counts on each option so users don't hit zero-result dead ends (the way Booking.com does), surface applied filters as removable chips above the grid rather than buried in a panel (ASOS's inline-chip model), and use an explicit "apply" step on mobile instead of disorienting live refresh. Baymard notes only ~16% of sites get faceted search right — so doing it well is a real differentiator.
Checkout is where e-commerce leaks, and the leaks are nameable.
Baymard's cart-abandonment research puts the documented average around 70%, with unexpected extra costs the top non-browsing reason (48% of abandoners in their survey) and "checkout too long/complicated" a named driver. The average checkout runs ~5 steps and far more form fields than the ideal. That makes a short, low-field three-step checkout — and showing the full price breakdown up front — defensible design decisions, not stylistic ones.
Image-first browsing fits a visual catalogue.
Mobile retail guidance favors photo-led grids with a consistent aspect ratio so products sit in predictable positions, and Decathlon's range is already organized around visually distinct passion brands per sport. That's the browse model sports apps like Nike's lean on, and it's the one this concept adopts.
A few decisions shaped the product.
Image-first browsing.
Home and category screens are dense, photo-led grids — sport and product imagery does the navigating, which suits a visual, multi-sport catalogue far better than text lists.
Fast narrowing.
Search pairs prominent filter chips with a full filter sheet — price range, category counts, size, brand — so a broad query like "running shoes" (48 results) narrows to the right pair in a tap or two. The chips live above the grid so applied filters stay visible, and option counts keep the user off dead-end zero-result pages.
A short, legible checkout.
A three-step flow (address, payment, confirm) with a clear bag summary, promo code, and one primary action per screen keeps a high-stakes moment simple. The full price breakdown — subtotal, discount, GST, delivery — surfaces in the bag before checkout, so cost is never a late surprise.
One brand colour, used with restraint.
Decathlon's blue anchors actions and brand moments against a clean white interface, so the products and photography stay the focus. I tuned the live brand blue to a lighter shade for AA contrast on dark surfaces — an accessibility-driven adjustment I'd confirm against brand guidelines.
A consistent five-tab shell.
Home, Categories, Travel store, Bag, Account — covering browse, buy, and manage — with a clear active state throughout.
A branded blue splash — "your sports, your world" — into get-started and sign-in, then a photo-led home: a sale hero, a photo grid of sport categories, with location-aware delivery and search up top.

Categories present the full catalogue as a scannable image grid spanning every sport. A search query returns a two-column product grid with ratings and discounted prices; filter chips and a full filter sheet — price range, category counts, size, brand — narrow it fast. Product detail leads with a large product image, price with the original struck through, a rating, colour and size selectors, a description, and Add to bag — everything the buying decision needs, in one screen.

The bag shows line items with quantity steppers and savings, a promo-code field, and a price breakdown — subtotal, discount, GST, delivery — into checkout. From there, a three-step address → payment → confirm flow with multiple payment methods ends in a clean order-confirmed screen with continue-shopping and order tracking.

A profile with club membership, orders, wishlist, saved addresses, and support. The orders screen carries status tabs — all, active, delivered, returns — plus reorder and review. Wishlist saves products as cards with quick add-to-cart, and a store locator maps store coverage with nearby stores and photos.

The checkout was the study's own research claim turned against it: the copy argued "three steps, one primary action each" while the first-pass screen merged address selection, payment choice, and Pay Now into a single view — with the stepper highlighting Confirm. The shipped screen is the confirm step the stepper promised: read-only address, the chosen payment method, a compact summary, one action.


A clean, light interface anchored by Decathlon's blue; photo-led category and product cards; a consistent header and a five-tab bottom nav with a clear active state; a rating-plus-strikethrough-price pattern for products; and a bold sans for headings paired with a clean UI sans.
A branded blue splash into a photo-led home.

Welcome

Home
Image-first browsing with fast narrowing — categories, search, a full filter sheet, and product detail.

Categories

Search results

Filters

Product detail
A short, confident three-step checkout — address, payment, confirm.

Bag

Checkout

Order confirmed
Profile, orders, wishlist, and a store locator.

Account

Orders

Wishlist

Store locator
A concept ships no conversion numbers, so these are the research constraints the design answers.
The hardest problem here is still open: the filter sheet at true 60-sport depth. Counts-on-options works beautifully at "running shoes" scale, but a facet tree spanning tennis racket grips, bike frame sizes, and tent capacities is a different beast — the sheet either fragments per sport (consistency dies) or unifies (relevance dies). This concept shows the unified sheet at one sport's depth and doesn't pretend to have solved the general case. That's the prototype I'd build first, and I'd test it on the messiest query I could find — "camping" — not the cleanest.
