Building a Cross-Platform Personalization Ecosystem

Overview

As Product Design Lead, I led the vision and design strategy for personalization across multiple Dow Jones products serving millions of readers worldwide.

Rather than treating personalization as a standalone feature, I developed a connected ecosystem that combines explicit user preferences with behavioral signals to create relevant, engaging experiences across web and mobile platforms.

This multi-year initiative included:

• Preference Center
• WSJ+
• MyWSJ
• Shortlist
• Notifications Inbox

Together, these experiences established the foundation for a scalable personalization platform that continuously learns and adapts to each reader.

The Challenge

Every reader consumes financial news differently.

Some follow specific companies. Others follow industries or journalists. Many simply want the most relevant stories surfaced automatically.

Existing personalization experiences were fragmented across products, offered limited user control, and lacked transparency around recommendations.

The opportunity was to create a unified personalization strategy that:

• Gives users control over their interests
• Improves recommendations using behavioral signals
• Encourages content discovery
• Creates daily engagement habits
• Scales across multiple Dow Jones brands

My Role

As Product Design Lead, I partnered with Product Management, Engineering, Editorial, Data Science, and Executive Leadership to define and execute the long-term personalization vision.

Responsibilities

• Product strategy and roadmap definition
• User research leadership
• Interaction design and prototyping
• Executive presentations
• Cross-functional alignment
• Design direction and mentorship

Phase One — Building the Foundation

Preference Center

The first challenge was collecting meaningful preference data directly from readers instead of relying solely on algorithms.

I designed a centralized Preference Center that allows users to explicitly define what matters most to them.

• Follow companies
• Select industries
• Choose topics
• Identify personal interests

This transformed personalization into a collaborative experience between the user and the platform.

Design Principles

Phase Two — Personalized Discovery

WSJ+

WSJ+ became a personalized aggregation experience bringing together content from Wall Street Journal, Barron's, MarketWatch and Investor's Business Daily.

Rather than presenting a chronological feed, the experience combines AI recommendations with user interests to surface the most relevant stories.

Key Features

• AI-powered recommendations
• Interest-based browsing
• Cross-brand content discovery
• Dedicated exploration-focused article experience
• Multiple pathways into content

Phase Three — Mobile Personalization

MyWSJ

Building on the personalization ecosystem, I led the design of MyWSJ, introducing distinct experiences for recommendations and intentional following.

For You

Following

A dedicated experience showing content only from journalists and authors users intentionally follow.

Separating these experiences increased transparency while giving users greater control over their content.

Phase Four — Creating Daily Reading Habits

Shortlist

Traditional bookmarks often become permanent storage instead of active reading lists.

I designed Shortlist as a lightweight alternative where saved stories automatically disappear after twenty-four hours.

Goals

• Reduce bookmark clutter
• Encourage same-day reading
• Create lightweight commitment
• Increase daily engagement

Phase Five — Personalized Notifications

Notifications Inbox

Breaking news is most valuable when it is personally relevant.

I designed a centralized Notifications Inbox that combines breaking news, followed companies, favorite authors, and personalized recommendations into one persistent experience.

• Breaking market news
• Followed companies
• Author updates
• Personalized recommendations

Leading Product Design Across Teams

Beyond designing features, my role focused on building organizational alignment and establishing a long-term personalization strategy across multiple products and business units.

• Led cross-functional workshops
• Presented strategy to executive leadership
• Translated research into product direction
• Facilitated collaboration across Product, Editorial and Engineering
• Mentored designers throughout the product lifecycle

Design Principles

• Personalization should always be transparent.
• User intent should override algorithms.
• Discovery should encourage exploration.
• Engagement should create long-term habits.
• One personalization system should power multiple products.

Building an Ecosystem Instead of Individual Features

Preference Center
        │
        ▼
User Interests + Behavioral Signals
        │
        ▼
Recommendation Engine
        │
 ┌──────┼─────────┬────────────┬───────────┐
 ▼      ▼         ▼            ▼
WSJ+  MyWSJ  Notifications  Shortlist
        │
        ▼
Continuous Learning Loop

    

Reflection

The most meaningful outcome was not a single feature but the creation of a scalable personalization ecosystem that connects user preferences, behavioral insights, AI recommendations, and editorial content into one cohesive product experience.

By approaching personalization as a strategic product capability rather than isolated functionality, the platform established a foundation that can continue evolving alongside reader behaviors and advances in AI.