
02 · Prepared for the Netflix hiring team
I led the redesign that turned WSJ mobile search from a content-retrieval tool into a discovery and navigation platform for millions of subscribers. A tabbed architecture unifies five content types, news, market data, opinion, video, and audio, in one search session, while seven reusable components were contributed back to the WSJ Index Design System. Nineteen screen states were fully specified, with the filter and market-data patterns reused well beyond search.
Why this piece is in my application
This version opens without a password. It was prepared for the Netflix hiring team as part of my application for a product design role.
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Reusable components added to the Index Design System
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Screen states fully specified
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Content types unified in one search
The Wall Street Journal mobile app serves millions of subscribers across news, markets, opinion, video, and podcasts. Search worked for retrieval, but stopped there - no path forward, no related context, no way to follow a topic. I led the redesign that transformed search from a content-retrieval tool into a discovery and navigation platform, built as an extension of the WSJ Index Design System.

Search was reframed as a primary navigation and discovery surface rather than a single-purpose results page. The work spanned product strategy, information architecture, UI and UX, component creation, and close engineering collaboration across iOS and Android.
Search was optimized for retrieval. WSJ needed it to become a discovery and navigation platform serving three different reader intents at once.

Four methods grounded the work: analytics review across 30 days of mobile usage, eight subscriber interview sessions, a competitive audit of Bloomberg, Reuters, NYT, and FT, and a heuristic evaluation against Nielsen heuristics and mobile search best practices.

Five principles governed every decision, from information architecture to component behavior to interaction detail.

The flat, article-only model became an ecosystem model: a tabbed architecture - All, Market Data, Opinion, Video, Audio - that separates content types while keeping discovery inside a single search session.


Tab architecture serves retrieval speed and exploratory depth simultaneously, without forcing the reader to choose between them.
The experience was built as an extension of the WSJ Index Design System. Existing tokens for color, typography, and spacing were reused, and seven new search-specific components were contributed back to the system.

Four directions were explored - Editorial First, Market First, Media First, and Ranked Mix - each addressing the tension between density, readability, and discovery. Ranked Mix was selected: the All tab algorithmically surfaces the most relevant entity per query, so financial queries lead with market data and every reader's intent is served first.
The detailed walkthrough continues behind the gate - the full component system and every state, the responsive design across iPhone, Android, and iPad, and the complete end-to-end journey.
New users see an educational empty state that scopes what search can do - companies, authors, topics - setting accurate expectations. Returning users see their recent searches immediately above the keyboard, with a Clear All affordance and per-row dismissal. The keyboard activates on tap, eliminating one interaction across millions of daily sessions.

Where standard autocomplete returns queries, WSJ search returns intent types - topics, sections, companies, authors, and opinion - in one multi-entity list. Suggestions fire on the first character with no delay, and when nothing matches the input stays clean, with no 'no results' message interrupting the reader.


A sticky, horizontally scrollable tab bar persists on scroll. For financial-intent queries the market-data block surfaces before articles, providing live price, ticker, and delta in a single scan row. Content-type labels - Breaking, Exclusive, Video - orient readers and reduce false taps, while progressive loading keeps the first ten results instant.


The legacy graph-first row became a company-first, single-line scan: ticker and exchange inline, price and delta right-aligned, with color-coded arrows that communicate direction before the numbers are read. Density without overload, and absent when there is nothing to show.


Filtering was built as a reusable system component, not a search-specific screen. A bottom-sheet pattern preserves query context, single-selection groups for range and sort apply immediately with no Apply button, and the shell is product-agnostic - architected to scale to article feeds, saved content, market watchlists, and video libraries.


Video needs a fundamentally different hierarchy: a thumbnail-led layout where the hero image occupies sixty percent of the card, a duration badge that sets expectations, share elevated as the primary action, and stronger recency emphasis. Auto-play is reserved for the Video tab to prevent audio disruption while scrolling search.

Every failure condition - empty, no suggestions, no results, no market data, and service error - was designed to provide a clear forward path rather than a dead end.

The system was designed natively for iPhone, Android, and iPad - one experience, adapted to each platform's conventions rather than stretched across them.
iPhone leads in light and dark, with bottom-sheet filters, thumb-friendly navigation, and a keyboard-aware layout for one-handed commuter use.


Android follows Material conventions - its own navigation, controls, and keyboard - so the experience feels native to the platform rather than ported from iOS.

iPad uses the larger canvas - a centered filter modal, denser results, and room for split-view multitasking so search persists alongside the article.


Every screen state, every interaction moment, and every edge condition - designed as one unified system.


Impact landed across four dimensions: user experience, product and business, design system, and engineering delivery.
I led the redesign of WSJ mobile search by extending the Index Design System, creating seven new reusable search patterns, and unifying discovery across editorial, market, video, and audio content at scale.

Next · A personalized feed for a brand with strong editorial opinions, where relevance had to serve the reader without dissolving the voice.