LinkedInLinkedIn China

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.

From 0 → 1End → End
LinkedIn China App

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)

Feed removal diagram showing LinkedIn app structure

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?”
SUCCESS METRIC

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)

WAU metric icon
Opt-in metric icon
Conversation metric icon
DESIGN PROCESS / Target Users

Define Elite as target users

Defining “Elite” as the target users (data-driven)

Statistics showing Elite user metrics - TAM 1.4M, MAU 28%, WAU 36%, Monetization 95%, Consumer 70%

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

Target user profile data snapshot showing demographics and characteristics of Elite users
DISCOVER

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. 1. What goals do elite users have when coming to LinkedIn?
  2. 2. What actions do high-value users take most frequently?
  3. 3. What the pain points in career development?

78% View Profiles to Develop Career

"First, I want to know what my former colleague is doing now. Secondly, when I consider my career development path, I want to look at other people's profile to see their experiences as a reference. For example, who are working on my target position, what kind of education background, work experience, and development path they have."

From Lynn, 36-40, Project management, Health Care

70.4% Read Content

"After opening the app, I will first look at the feed to see what information others have posted. Its timeliness is very good. If you follow many people, you can learn about hot overseas trends in various industries"

From Hannah, 36-40, Consultant, Construction

73.1% Build Connections to Develop Career

"Many domestic and foreign industry experts or celebrities have accounts on LinkedIn. I can find the person I need, and it is very convenient to build connections on LinkedIn. We can develop our own careers and add value for ourselves. Sometime I can find interviewer in LinkedIn when preparing for an interview"

From Gao, 31-35, Finance, Internet Industry

Exchange Resource & Enhance Influence

"I want to make connections with more peers from the same industry or relevant industry to exchange different and fresh ideas resources with each other. I have rich experience in my industry, I want to boost my repute and influence in industry to bring me more opportunities and to help me success."

From Louis, 41-45, Logistics Expert, Automobile Industry

Get professional advice & Develop Career path

"Small companies don't care much about training employees' professional skills and career development. When I encounter problems or bottlenecks in my work, I try find a mentor to ask for advice. Moreover, I also try to add connections to help me refer job"

Gail, 21-25, Marketing, Media & Communication
Users voice

Quantitative Survey

Sent a questionnaire to elite users via SMS. A total of 5239 valid samples were collected

Quantitative Survey Results

Data results of Elite WAU behavior

Elite WAU Behavior Data

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.

Career Development Synthesis Diagram

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

Competitor Research - LinkedIn vs Chinese competitors
Competitor analysis chart

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?”
DIRECTION EXPLORATION

Strategic Options I Explored

A

Insider Referral Network

Connect job seekers with verified insiders for referrals and hiring insights (high-signal, 1:1).

B

Career Help Community

An intent-based loop (intent → match → conversation) for scalable advice/mentorship/referrals.

C

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)

Strategic options matrix showing Insider Referral Network, Career Help Community (highlighted), and Learning Hub

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)
Design Goal

Create a new LinkedIn China's user workplace experience to help users gain career development

User workplace experience diagram showing user needs being fulfilled by LinkedIn's advantages through career development ecosystem

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).

North Star

One-Stop-Shop for career development

Career Help Community Service ecosystem showing personalized career help as the core engine with supporting modules for quality connections, staying informed, and overseas jobs
CREATIVE FUNCTIONS - CORE FUNCTION

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.

Opt-in upsells lifecycle showing three stages: Raise Hands, Discover Intents, and Career Conversations

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

Key findings flow from UER research to defining user requests to insights for design

Design Flow

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

Design flow showing seekers and providers mutual help flow end-to-end
CREATIVE FUNCTIONS - SUPPORTING MODULE

Stay Informed (Phase-2)

Stay informed with quality news and publisher stories
Meets users need and strengthens return reasons + conversation context

Network cohortsIndustry engaged inValuable and High-qualityHot trendsPreference
74%Feed consumption ≥3
18%Feed like/comment/share
1

In early research, I found users valued "staying informed," but the need was vague

2

So I ran a focused study to clarify what information matters and why

3

I designed a relevance-based PGC feed surfaced via topics/interest signals, giving users lightweight context and better talking points for Career Help conversations.

Relevance diagram showing user content preferences
Stay Informed feature mockup

Personalized resources based on preferences (Phase-2/3)

Provide personalized resources for users based on the Help Provider or Seeker services set by users.
Strengthens routing + conversion

Discover pillar

Discovery tab interface

For Help seeker

Customized career resources on preferences

Information, events, connections, referral jobs, career help service.
Prioritize these kinds of resources based on personal preferences, users behavior and data insights

Navigation for help seekers

For Help provider

Corespondent resources tailored for help providers, helping senior professionals build upward network with Elites

(Elite events)

Navigation for help providers

For help seekers, help them upward network with senior leaders to advance career (1-on-1 session with senior leaders)

Build networks (Phase-2)

Cohort discovery + icebreakers to improve match quality and increase conversation starts
Strengthens discovery + match quality

Customize network matching preference

PeersIndustry experts or celebritiesHeadhuntersEmployees of the target companyAlumni

People You May Know

Network cohorts

(e.g. 阿里校友会, BAT产品人)

1

I refine the key findings from the user testing

Peers in the industry (57.1%)

Industry experts or celebrities (53.4%)

Headhunters (44.1%), employees of the Target company (43.2%)

Alumni (35.8%)

Workplace Drift Bottle

Match 1-on-1 networking based on preference and interested topics

Drifting bottle feature

Professional circle & Ranking Superstar
(The card entry point is in the Discover pillar)

Discover and build familiar and quality network, exchanging career resources, advancing career

Ranking in your industry

Professional ranking feature

Professional circle on multi-dimension relationships

Professional circle feature

Incentives + Credibility (Phase-3)

Passing Love & Pay-it-forward rewards incentivize elites to keep providing values to community
Strengthens supply health + trust

Personal Career Branding

Customizable profile page meets different needs for building strong personal branding and enhancing career influence. Meanwhile, credibility highlights (badges/reviews) to sustain supply and protect trust

Easy customizable profile with templates (e.g. present portfolios, knowledge expertise, and etc.)

Strong personal credibility with earned badges, contribution highlights

Let community know "Open to X" intent and preference

Present review from communities to endorse values members provided

Incentive mechanism

Passing Love & Pay-it-forward rewards incentivize elites to keep providing values to community

Use credits to unlock additional features and exclusive benefits

  • Unlock exclusive benefits
  • Upward networking with senior leaders
  • Exclusive events
  • Unblock premium networking features
Credits UI mockup

Unlock additional opportunities when running out quotas

Discover UI mockup
Quota statistics
Design Principles and structure

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

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

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

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

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

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

App structure diagram showing the information architecture of the new LinkedIn China app