I’m Lenna. I help shape ideas into products.

Lenna Hua

UX Designer

12 years of experience

I’m Lenna.

I help shape ideas into products.

Lenna Hua

UX Designer

12 years of experience

Kijiji - Trust & Safety System Proposal

Kijiji - Trust & Safety System Proposal

Designing a comprehensive trust framework to reduce fraud and increase buyer confidence in peer-to-peer marketplace transactions.

Role

UX Designer

Focus

Safety mechanisms, fraud prevention, Trust signals

Methods:

User research, journey mapping, system design, prototyping

Context & Problem

Approach / Strategy

Kijiji, as a peer-to-peer marketplace, faces ongoing challenges with trust and safety. Users frequently encounter scams, fraudulent listings, and safety concerns when meeting strangers for transactions.
This project explored how trust signals, verification systems, and safety protocols could be integrated into the platform to create a more secure buying and selling experience.

Context & User

In P2P marketplaces, users need reassurance early because the cost of being wrong is high (money + safety).

In P2P marketplaces, users need reassurance early because the cost of being wrong is high (money + safety).

Users hesitate when profiles are anonymous and listing quality is inconsistent
Trust must be visible in browse, listing view, and chat — not only after contact

Scope & My Role

Owned the system logic + flow mapping and translated insights into a cohesive trust UI concept.

Owned the system logic + flow mapping and translated insights into a cohesive trust UI concept.

Role: UX designer (systems + IA/flows + UI concept)
Deliverables: trust pillar framework, user flows, key screens, expected impact metrics (proposed)
Collaboration: team project; I focused on structure, decision points, and how trust is communicated

Approach / Method

Worked backwards from user risk moments to define principles, then mapped flows and trust signals into the UI.

Worked backwards from user risk moments to define principles, then mapped flows and trust signals into the UI.

Identify high-risk moments (browse → contact → meetup)
Define trust pillars and placement rules
Design flows + UI touchpoints where trust matters

Key decisions (3)

Three design decisions shaped how trust is introduced without over-restricting users.

Three design decisions shaped how trust is introduced without over-restricting users.

Decision 1 — Identity verification is contextual, not mandatory

Triggered via settings or high-risk actions
Reduces friction for casual users

Decision 2 — Listing quality is enforced before publishing

Category-specific required fields
Verification status influences posting flow

Decision 3 — AI acts as a safety net, not the main gatekeeper

Scans content and behavior post-publish
Flags suspicious listings without blocking all users

Recommendations

Introduce contextual verification + structured listings + AI-assisted warnings to reduce scams without blocking legit sellers.

Introduce contextual verification + structured listings + AI-assisted warnings to reduce scams without blocking legit sellers.

Contextual verification triggered by high-risk categories/price thresholds
Pre-publish listing structure (required specs, completeness checks)
AI safety layer: warn/hold suspicious content post-publish with transparent messaging

Artifacts

Mapped core flows to show where trust signals must appear to change user behavior.

Mapped core flows to show where trust signals must appear to change user behavior.

Identify high-risk moments (browse → contact → meetup)
Define trust pillars and placement rules
Design flows + UI touchpoints where trust matters

Reflection

Designing trust at scale requires balancing safety, accessibility, and user autonomy.

Trust must be visible at decision points
Over-verification risks excluding valid users
Platform responsibility extends beyond digital interactions
This project reinforced my interest in designing systems where UX decisions directly affect real-world safety.

This project focuses on conceptual UX and system design.

 Budgeting, timelines, and technical implementation were explored in the academic proposal but are not included here.

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