2022
LinkedIn China Pivot Redesign
North Star App Redesign + MVP Launch (Career Help Community)
I designed the end-to-end North Star experience for the LinkedIn China app redesign, and shipped the first MVP module (Career Help Community) within a 3-month window.

Impact
+0.75%
WAU
283K
Opt-in (Career Help Community)
78%
78% 7D Conversation Rate (Opt-in users)
ROLE & TEAM
Product Design Lead
What I owned
- •Led product direction exploration and defined the North Star experience for the app redesign.
- •Owned the information architecture (navigation + content hierarchy) and core user journeys for Phase-1 MVP.
- •Partnered with UXR to frame research questions and lead synthesis workshops into actionable insights.
- •Partnered with Data Science to translate behavioral data into segment selection + metric framework.
- •Defined MVP scope and tradeoffs, aligned with PM/Eng on feasibility, and created the phased sequencing plan.
Additional contribution
Established CN design guideline ("70/30" with the global design system) and key interaction patterns to speed up delivery and maintain consistency.
FRAME
Define questions, hypotheses, success metrics (w/ UXR)
DEFINE
Frame research questions. Combine UXR insights + behavioral data (w/ DS)
EXPLORE
Generate options, evaluate tradeoffs, align stakeholders
DESIGN & SHIP
Design core journeys + IA, support MVP delivery
Cross-function Teams
Partners: PM, Eng, UXR, Data Science
PROJECT CONTEXT
Background
Regulatory-driven Feed removal
In Oct 2021, LinkedIn China removed the Feed tab—previously the primary driver of engagement and return visits through broadcast social interactions. Under the constraint that individual users couldn't publicly broadcast in a Feed-like format, content could still support discovery (e.g., curated POD) but couldn't be the primary engagement engine.
Problem
Lose Engine
Feed powered discovery and lightweight interactions that brought users back frequently. Without it, we lost a scalable way to drive repeat visits and people discovery.
Goal (North Star)
Find a New Engine
Find a New Engine to retain and engage core users.
Measure: Stabilize WAU/retention (without rebuilding Feed)

CHALLENGES
Policy Restriction
Limited time & policy constraints to redesign a new app
- •Timeline: ship Phase-1 MVP in 6 months
- •Policy: avoid rebuilding a Feed-like experience
- •Business: protect trust and stabilize WAU/retention
- •Change management: introduce new mental models while keeping LinkedIn's brand trust
“If Feed is gone,
what people-first career outcome should we build?
And what's the smallest MVP we can ship in 3 months to prove it?”
How to Measure Success
I partnered with PM to define success metrics for the MVP
1.Primary: WAU / retention
2.Activation: opt-in completion, conversation activation
3.Quality: 7D Conversation Activation (≥1 conversation)
Define Elite as target users
Defining “Elite” as the target users (data-driven)

Elites, as recruiter search targeting and paid job applicants, represent a Total TAM* of 1.4 million on LinkedIn. Among them, 68K are WAU*, accounting for 36% of the total WAU, while 68K are MAU*, making up 28% of the total MAU. Notably, 95% of Elite MAU have 2-20 years of experience, with 50% of them employed in companies with 500 or more employees.
The contribution of Elites to both LTS* and active job seekers is substantial. Elite MAU alone account for 95% of InMail 7-day acceptance rates within China, driving monetization efforts. Additionally, they make up 70% of active referrers and mentors, enhancing the consumer experience.*
*WAU=Weekly Active User | *MAU= Monthly Active User | *TAM= Total Addressable Market | *LTS= LinkedIn Talent Solutions

Define the users needs by User Research
In order to get a deep understanding of target users' needs and pain points. I conducted a qualitative research with UER team and a quantitive survey with Data scientists
I collaborated with UER to define the right questions of Qualitative research (Conduct 1-1 In-depth interview (20 extreme and active users)
- 1. What goals do elite users have when coming to LinkedIn?
- 2. What actions do high-value users take most frequently?
- 3. What the pain points in career development?
Quantitative Survey
Sent a questionnaire to elite users via SMS. A total of 5239 valid samples were collected

Data results of Elite WAU behavior

Synthesized key pattern - What do users need?
Research showed users ultimately seek career growth—reputation, reliable advice, and opportunities. Needs like staying informed, networking, and referrals support that overarching goal. Profiles are the trust layer that helps users decide who to learn from or ask for help.

My analysis
Users pursue career growth through (1) broadcast social interactions and (2) direct, trust-based connections. With public broadcasting constrained, I identified an intent-based, trust-led interaction loop as the primary viable engine.
Competitor Research
LinkedIn's Opportunity
I identified the unique values and opportunity — LinkedIn's edge: quality + global access + network effects


My Insight
Local competitors have domestic job resources but lack trusted professional identity. LinkedIn's verified profiles and global resources uniquely enable high-quality career conversations.
So I focused on interaction models where verified identity and expertise power high-signal help—not broadcast posting.
“How might we replace a broadcast social feed with an intent-based, trust-led interaction loop that accelerates career growth and restores repeat visits?”
Strategic Options I Explored
Insider Referral Network
Connect job seekers with verified insiders for referrals and hiring insights (high-signal, 1:1).
Career Help Community
An intent-based loop (intent → match → conversation) for scalable advice/mentorship/referrals.
Learning Hub (structured, expert-led PGC)
Curated, expert-led classes (LinkedIn Learning style) surfaced via topics/search—not a user-generated feed.
I evaluated three strategic options
Criteria: Market differentiation × User coverage (plus feasibility & speed-to-validate in 3 months)

I recommended Option B Career Help Community
- Best balance of coverage + defensibility while fitting the no-public-broadcast constraint
- Fastest path to validate in 3 months with clear metrics (opt-in + 7D conversation activation + WAU/retention)
Create a new LinkedIn China's user workplace experience to help users gain career development

I made Career Help Community the core engine (Phase-1)
I designed supporting modules to strengthen discovery, supply, personalization, and sustained engagement (Phase-2/3).
One-Stop-Shop for career development

1.Career Help Community - Core loop
To replace broadcast feed interactions, I needed the smallest trust-led loop that creates repeat engagement without public posting. I shipped the Intent-based loop: Raise hands → Match → Start 1:1 conversations.

Members can customize intents and help each others with sharing knowledge, experience and job referrals.

Design Flow
Seekers & Providers' mutual help Flow (end-to-end)

Set a New Design Principle and Design structure
Define new design principles to ensure consistency among the design and the business goal and user requirements
Redesign a New Design Principle for New App
Redesign the structure of New App
DIVERSE USERS & NEEDS
Active users are elites, active job seekers and other professionals, they have multiple needs
PERSONALIZATION
Customize intents and preferences Recommend personal resource by users preferences, behaviors and data insights Customize network matching preferences
CORE USERS' NEEDS & NEW APP'S CORE VALUE AND GOAL
Core need of users is to build network and develop career. So New App aims to help users with building network to advance career
SENSE OF COMMUNITY
Mutual help community, Workplace Drift Bottle to create chances of building networks.
BRAND & TONE
Aiming to create Mutual help community-centered career ecosystem
WARM, LIVELY, FRIENDLY AND CRISP
Card-Based UX & UI Design Clear Structure and Information Hierarchy, Responsive Design.
DEVELOPMENT FEASIBILITY & SUSTAINABILITY
Considering development costs. Facilitates short and long-term planning, cross platform, including iOS, Android, Web.
HIGH SCALABILITY & FLEXIBILITY
Redesign design components and guideline Responsive Design to fit iOS, Android, Web.
CHINESE USABILITY & PARTICULAR SITUATION
Chinese local policy restriction & Usage habit of local users: 1.Restrictions on free speech 2.Chinese career culture, like Chinese professionals are more shy to break the ice 3.They value building connections to gain resources
LOCALIZATION & USABILITY
Restrictions on expression freedom by local policy in China. Chinese career culture: Chinese professionals who aim to build networks are more likely to be shy and hesitant to break the ice. So create opportunities to help people discover each other, match, and break the ice. Privacy settings. China Customized User Friendly Pattern and Components








