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QUEST 02▲ MAIN QUEST+1,500 XP
Autosuggest UX
Autosuggest UX
PERIODMarch 2022 – July 2022
ROLEProduct Designer
PLATFORMWeb · iOS · Android
TEAMCore Team
Product DesignerSearch UXMulti-PlatformA/B Testing

U-NEXT is Japan's #1 streaming service — a catalog of over 30,000 pieces of content spanning series, dramas, movies, and books. This project redesigned the autosuggest search experience across Web, iOS, and Android, transforming a basic text-matching utility into a smart, ML-powered content discovery surface.

[ 01 ]

A 5-year roadmap blocker

What looked like a simple search improvement turned out to be tangled in conflicting business expectations, engineering constraints, political friction between teams, and user frustrations all pointing in different directions. A full rebuild would take years — maybe five. I saw a different path: what if we worked within the existing tech stack and focused on high-impact improvements first?

SCREENSHOT 1
[ 02 ]

Research and cross-platform design

Conducted desktop research benchmarking autosuggest vs. autocomplete patterns across streaming and e-commerce. Facilitated ideation workshops with core and extended teams. Designed cross-platform explorations for Mobile, Web, Responsive, and early TV concepts. Created paper sketches and Figma prototypes, and documented handoffs for all platforms.

SCREENSHOT 2
DETAIL 2
[ 03 ]

5 years → 4 months

Compressed 5 years of roadmap inertia into 4 months of focused execution. The A/B test was a success, unlocking full implementation across Web, iOS, and Android. Also opened the door for autosuggest on the TV platform — a new initiative I helped design, delegate, and oversee. Immediate buy-in from business stakeholders, PO leads, and Dev leads.

SCREENSHOT 3
✦ VISUAL RESULTS5 IMAGES
Visual result 11 / 5
✦ LEARNINGS & FUTURE VISION
→ WHAT I LEARNED

Having empathy for business stakeholders and developers gave us insights that shaped the right strategy. Sometimes the best innovation is simply using what you already have — well. Due to complications with TV and other projects, we couldn't launch everywhere at once, but this became an opportunity to grow as a delegator and a design lead.

→ WHAT I'D DO NEXT

Future improvements I'd advocate for: query intent modeling — distinguishing "I know exactly what I want" from "I'm exploring" — and voice search integration, especially relevant for a platform consumed across TV, phone, and tablet. The next frontier is search that feels less like a lookup and more like a conversation.