Boxdex is a mobile app that gives blind box collectors a single place to track, trade, and show off their collections.
Blind box culture is deeply social — collectors hunt limited drops, swap duplicates, and take pride in rare finds. Yet there is no dedicated tool that captures that energy. Boxdex fills that gap.
By combining a personal inventory, a community marketplace, and a digital showcase, Boxdex turns a scattered hobby into a connected experience.
Collectors resort to spreadsheets and photo rolls to track what they own — there is no purpose-built tool for logging blind box figures and their variants.
Duplicate pulls are common but trading is scattered across Discord, Reddit, and Instagram DMs — fragmented, unsafe, and hard to search.
Collectors are proud of their shelves, but generic social apps don't give collections the visual treatment they deserve.
The blind box community is large, passionate, and completely underserved by existing apps.
I conducted all research, synthesised findings, defined the product direction, and led the end-to-end design from discovery through to high-fidelity prototype.
Solo project — responsible for user research, information architecture, interaction design, visual design, and brand identity from scratch.
Spoke with active blind box collectors about their collecting habits, frustrations, and what they wish existed to manage their hobby.
Evaluated general collection apps, resale platforms like StockX and Whatnot, and community tools to understand what already exists and what falls short.
Observed collector communities on Reddit, Discord, and TikTok to understand language, culture, pain points, and what moments collectors value most.
Built three core collector personas — the casual unboxer, the serious trader, and the display-focused curator — to guide design decisions.
Distributed a survey to blind box communities to quantify pain points and validate that fragmentation was the dominant frustration.
Ran heuristic evaluations on the closest competitors to identify usability gaps and patterns worth borrowing or avoiding.
"I have a spreadsheet, a notes app, and three Instagram chats going just to manage my duplicates."
user interviews conducted across casual collectors and serious traders to map the full spectrum of collecting behaviour.
Strong desire for a trusted trading space — most collectors had been burned by scams or ghosted on generic resale platforms.
No existing app was purpose-built for blind boxes. Collectors adapted general-purpose tools, all imperfectly.
The showcase dimension was underestimated by competitors — collectors wanted to display as much as track and trade.
The three core flows — Log, Trade, and Showcase — were designed to feel distinct but deeply connected, so a collector could move between them without losing context.
The visual language borrows from collector culture — bold typography, clean grids, and just enough playfulness to honour the joy of the unbox moment.
Wireframes focused on the three-tab structure — Collection, Trade, and Showcase — so users could always orient themselves within a single tap from any screen.
Three-tab bottom bar — Collection, Trade, Showcase — with a floating action button for quick logging after an unbox.
Card-based inventory with series grouping, rarity indicators, and a quick-flag for duplicates.
Filter-first discovery — search by series, figure, or condition — with in-app messaging to keep trades safe and accountable.
Full-bleed shelf layouts with custom backgrounds, drag-to-arrange, and a shareable link for social export.
After usability testing and iteration, the high-fidelity prototype brought the collector experience to life — fast to log, easy to trade, beautiful to display.
Personal inventory organised by series, with rarity tags and duplicate flags always visible.
Community marketplace with in-app chat, verified listings, and a transparent trade history.
Scan or search to log figures instantly. Auto-detect series, mark variants, and track completeness across every set you own.
Flag duplicates and get matched with collectors who need what you have — based on wish-list data, not just manual search.
In-app messaging, trade verification, and community reputation scores keep every trade transparent and accountable.
Build a visual shelf, arrange figures, pick a backdrop, and share your collection as a shareable page or social export.
The trade flow was the most complex to design — earlier and deeper conversations with frequent traders would have surfaced edge cases sooner and reduced late iteration.
Safety and trust signals needed more attention earlier — the community reputation system was added late and would have benefitted from more structured thinking at the wireframe stage.
The first-run experience for new collectors needed its own dedicated design sprint — onboarding that sets up the log correctly from day one is critical to long-term retention.