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Case StudyDesign SystemsB2B Web

Experian Design System Refresh

Refreshing the component library behind experian.com/business, so the system that generates every page presents Experian's AI-driven products as forward-looking as they are.

This project is currently under NDA. Final designs are omitted.
Role
Product Designer
Timeline
3 Months
Type
Product Design & Digital Marketing
Tools
Figma, ChatGPT Enterprise, Adobe Experience Manager

Problem

A perception gap

experian.com/business is where enterprise buyers form their first impression of products they may spend months evaluating. Experian had invested heavily in AI-driven data and decisioning tools, but the website presenting them had drifted. The visual language read as a legacy financial services site while the products it described were positioned as forward-looking. For a B2B buyer doing early research, that gap is a credibility problem before a single feature is read.

A structural constraint

The harder constraint was structural. The site is built in Adobe Experience Manager, where marketing teams author pages from a shared component library rather than designing them individually. Inconsistency across the site was not the result of any one page being designed badly. It was the component library reproducing the same outdated patterns everywhere it was used.

The insight

Redesigning pages would not hold. The system generating them had to change.

experian.com/business before the refresh

Research

I audited the existing site and benchmarked it against two groups: the other credit bureaus Experian competes with directly, and the B2B data and AI platforms that set enterprise buyers' expectations for what a modern, AI-forward product looks like.

Competitive benchmark 1
Competitive benchmark 2
Initial benchmark: Plaid.com & Snowflake.com
Credit bureaus
Equifax homepage
Equifaxequifax.com/business
No AI above the fold
  • Stock photography leads the hero
  • Dense two-tier navigation plus a breadcrumb
  • Value proposition is general (“Better Customer Experience and Smarter Revenue”)
TransUnion homepage
TransUniontransunion.com/business
No AI above the fold
  • Friendly brand system: yellow pill buttons, circular photo crop
  • One headline, one primary call to action
  • Still photo-led rather than product-led
Dun & Bradstreet homepage
Dun & Bradstreetdnb.com
AI assistant + AI messaging
  • Site-wide bar: “Power AI with Verified Business Context”
  • An on-page AI assistant invites questions
  • Positions its data as the foundation AI needs
Modern B2B data & AI platforms
Plaid homepage
Plaidplaid.com
Modern visual system
  • Floating, translucent pill navigation
  • Gradient display type over an engraved-money illustration
  • Customer logos as instant proof
Snowflake homepage
Snowflakesnowflake.com
Agentic AI is the headline
  • “Bring agentic AI to all your data” leads the page
  • A toggle switches the hero between two AI products
  • Real product UI (a terminal) sits in the hero
Stripe homepage
Stripestripe.com
Assistant entry in the nav
  • A live counter of global GDP running on Stripe
  • Animated gradient art with restrained type
  • A sparkle-marked “Guide me” entry in the main nav
AI built into the interface
Dun & Bradstreet component
Dun & Bradstreet. A chat assistant greets visitors and takes questions about services.
Snowflake component
Snowflake. A toggle component lets visitors switch between two AI products in the hero.
Stripe component
Stripe. “Guide me” sits in the main nav beside Pricing, marked with the sparkle icon now common for AI.
Plaid component
Plaid. A floating, translucent pill nav reads as modern before any copy does.
Patterns that carried into the system
Show the product, not stock photos

Snowflake puts its real product interface in the hero. Equifax and TransUnion still lead with stock photography.

Make AI a component, not a claim

D&B and Stripe give visitors an AI entry point on the page itself instead of only describing AI in copy.

Prove it with live data

Stripe's live GDP counter and Plaid's customer logos earn credibility before a single feature is read.

Among bureaus, the field is open

Of the three bureaus reviewed, only D&B has moved toward an AI-forward presentation, leaving room for Experian to lead the category.

Competitor screenshots captured October 2026 from each company's public homepage.

Solution

I translated the audit findings into a set of component-level design recommendations in Figma, built as a refreshed system rather than a set of page mockups. Each recommendation was scoped to what AEM could actually support, so that marketing teams could author with the new components without engineering involvement on every page. I prototyped key components in context to show how they would behave across the range of content the library has to handle.

experian-design-system.fig
The final system is under wraps.

The refreshed components can't be shown publicly yet. I'm happy to walk through the work, decisions, and prototypes in a call.

Request a walkthrough

Outcome

01
Presented

I presented the work to senior leadership as a single narrative connecting the audit, the competitive findings, and the proposed system.

02
Approved

The recommendations were approved and a design refresh roadmap was established.

03
Next: validate

A/B testing is planned as the refreshed components roll out, so the design decisions can be validated against behavior rather than resting on the benchmarking alone.

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