One subcategory instead of two
Cleaning Aids and Cleaning Tools merge into a single home. Shoppers no longer need to guess which parent holds the item they want.
real‑world matchReworking how Zepto groups and filters household products, so people find what they came for without endless scrolling.
Near‑identical cleaning products were split between "Cleaning Aids" under Home Needs and "Cleaning Tools" under Cleaning Essentials, then dumped into one long scroll.
Ran a heuristic evaluation, sketched three directions, built a hi‑fi Figma prototype and tested it with quick‑commerce users.
One merged subcategory, items grouped by type, plus sort, filter and quick filter pills — shaped further by what testing surfaced.
I use Zepto regularly, so its friction was my friction. Picking an app from my own week meant I could spot the rough edges from lived experience, not just from screenshots.
The project came out of Anudeep Iyyagari's design challenge and workshop. His User Centred Design workbook pushed a plain approach: ask common‑sense questions about the experience, answer them honestly, then check each answer against established heuristics.
Browsing for household items, I kept hitting the same wall. Home Needs held a subcategory called Cleaning Aids. Cleaning Essentials held one called Cleaning Tools. The products inside both were largely the same kind of thing — and scattered across the screen in no particular order.
Users scroll a long, unordered list hunting for one item.
There's no sorting, filtering or grouping to narrow it down.
Similar products are split across two subcategories in two parents.
The catalogue follows internal structure, not the mental model of a shopper walking a supermarket aisle.
Mapping the common‑sense observations to Nielsen's heuristics made the gaps concrete.
Products weren't sorted the way people see them in a store, where items sit together by category.
Few ways to narrow down to a specific tool; users were stuck in a long list with no shortcuts.
An endless scroll was the only path, limiting how freely people could explore or jump to what they wanted.
Comparing items meant remembering details, with little visual cueing to lean on.
Make the app shelve things the way shoppers already think.
Three directions came out of brainstorming, each answering a different heuristic. They turned out to work best together.
Group items inside a subcategory by type, so mops sit with mops and brushes with brushes.
Add sort and filter controls, plus quick filter pills along the top for one‑tap narrowing.
Collapse Cleaning Aids and Cleaning Tools into a single subcategory, so everything lives in one place.
I sketched the screen on paper first: category rail on the left, pills across the top, Sort and Filter pinned at the bottom next to the delivery nudge. The strongest version moved into a high‑fidelity Figma prototype.
What changed on the subcategory screen, and which heuristic each change answers.
Cleaning Aids and Cleaning Tools merge into a single home. Shoppers no longer need to guess which parent holds the item they want.
real‑world matchThree pills — Toilet & other brushes, Jhaadu/Mops/Wipers, Brooms & Dust pans — sit above the grid. The selected pill shows a clear-cross, and the Filter sheet repeats the same categories alongside brand, price, discount and origin.
efficiency + controlLabelled groups break the endless list into short, predictable sections. Shoppers compare like with like on screen instead of holding details in their head.
recognition over recallI put the prototype in front of quick‑commerce users to check it worked, and to find what didn't. Each session followed the same five prompts.
How often do you use quick‑commerce apps, and which ones?
Walk me through how you found the cleaning tools or home essentials you needed.
What do you think of Cleaning Aids and Cleaning Tools becoming one subcategory?
Any specific challenges or wins while navigating?
If you could improve one thing based on this experience, what would it be?
The observations fed straight into another round of iterations before the final prototype.
This was a concept, not a shipped change, so these are the metrics I'd expect it to move rather than measured results.
When people can find and filter quickly, more browsing sessions end in a purchase.
Efficient navigation keeps people exploring instead of leaving a frustrating list.
An easier shop builds satisfaction, loyalty and word of mouth.
Questions I'd want answered before this reached production.
Other categories likely have the same overlap. A catalogue‑wide audit would show how far this pattern should go.
Search and order data should decide the quick filters, not intuition.
An A/B test on time‑to‑add‑to‑cart would turn the expected impact into real numbers.
The workshop's common‑sense method found real issues fast; pairing it with analytics would sharpen prioritisation.
Want to talk through the process?
— Sharvani