Case Study Summary

Torob

Torob is a high-scale shopping search product. This summary focuses on the challenge, design approach, outcomes, and my responsibilities.

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Project snapshot

RoleProduct Designer

Timeline2022-2025

TeamCross-functional team

DomainE-commerce B2C

Challenge

Users needed to compare options quickly and confidently across a huge product catalog and many sellers without cognitive overload.

Discovery

I reviewed behavior patterns in high-intent journeys, identified friction in search-to-decision moments, and aligned opportunities with product constraints.

Goals & opportunities

1Improve decision clarity in search and comparison

2Reduce interaction friction in high-frequency flows

3Strengthen trust cues in critical moments

4Keep patterns scalable for future features

What I did (Responsibilities)

I owned UX and UI direction for key flows, interaction patterns, and design rationale; collaborated closely with product and engineering from concept to handoff.

Key decisions

1) Prioritized comparison clarity over visual complexity. 2) Standardized core interaction patterns. 3) Balanced exploration and conversion behaviors.

Final design shots

Shot 1Search and result hierarchy system

Shot 2Comparison and decision-support UI

Shot 3Cross-surface consistency (web/app)

Shot 4Final interaction and edge-state specs

Impact

Impact 130M+ users supported with clearer flow

Impact 2180k+ shops managed with better structure

Impact 3Faster iteration through reusable patterns

Impact 4Higher trust in decision moments

Outcome & learnings

Consistency and trust signals have compounding value at scale. Clear hierarchy plus repeated patterns improves both UX and delivery speed.