Gemini

Redesigning the credit card rewards dashboard: from a transaction list to an experience that told users what their rewards were doing.

End-to-end

Research through final delivery

2 platforms

Mobile and web

ROLE

Product Design Intern

TIMELINE

Jun - Aug 2022

TEAM

Solo with mentor support

TOOLS

Figa, Google Forms, Looker

THE PRODUCT

Gemini’s credit card allows users to earn up to 3% back in cryptocurrency, instantly deposited into their digital wallet. Unlike traditional rewards points, those rewards continue fluctuating with the market after they’re earned.

That distinction is the entire premise of the product: rewards aren’t just cashback, they become part of a user’s portfolio. The problem was that the rewards dashboard didn’t reflect that idea at all. It functioned mostly as a transaction feed.

MY ROLE

I led the redesign of the credit card rewards dashboard across mobile and web, from research and information architecture though final high-fidelity prototypes.

01

Competitive analysis

02

User interviews + surveys

03

Information architecture

04

Wireframing + interaction design

05

Iterative user testing

06

Responsive + edge-case design

A large part of the work wasn’t just designing screens, but figuring out what the dashboard should actually optimize for.

THE CHALLENGE

The existing experience treated crypto rewards like traditional cashback. Users saw a chronological list of transactions showing what they earned per purchase, but there was no context around:

->

How rewards were performing over time

->

Spending or earning patterns

->

Portfolio composition

The mismatch became pretty clear during research: the current dashboard treated rewards like transactions but users thought about them like investments. For a product built around rewards that could appreciate in value, the experience wasn't making that case at all.

RESEARCH

Understanding the landscape

Because I came into the project with limited familiarity with both crypto and credit card ecosystems, I started by analyzing a wide range of rewards products — traditional credit cards, hotel loyalty systems, fintech apps, food delivery rewards, and e-commerce platforms.

I wanted to understand:

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How rewards information was commonly structured

->

What users were already conditioned to expect

->

Where crypto behavior introudcted mental models

Across products, a few patterns consistently appeared:

01

Visual summaries performed better than dense activity lists

02

Rewards experiences emphasized growth and progress

03

High-level overviews were prioritized before detailed breakdowns

04

Users expected personalization around spending behavior

User resarch

Competitive analysis helped establish broader patterns, but it didn’t answer how Gemini users specifically thought about their rewards.

Since the card had launched recently, existing behavioral data was limited. I combined available analytics with surveys and interviews targeting cardholders and crypto users to better understand what information users wanted to see first, and what insights actually felt useful.

The findings were surprisingly consistent. Users overwhelmingly prioritized:

01

Reward performance

02

Total crypto earned

03

Spending category breakdowns

04

Transaction activity

They also preferred:

01

Visualization over transaction heavy interfaces

02

Grouping rewards by cryptocurrency rather than merchant

03

Earning and spending behavioral trends over time

The biggest insight was that users weren’t treating rewards as static points but as assets, which changed how I approached the dashboard hierarchy. Another theme that surfaced repeatedly was engagement- users didn’t just want to check rewards balances, they wanted to explore them.

That became an important shift in the redesign direction. Beyond improving clarity, I wanted the dashboard to encourage curiosity and repeat engagement by making reward data feel interactive, flexible, and even a little playful.

DESIGN DECISIONS

Information hierarchy

Before moving into wireframes, I focused heavily on restructuring the information architecture.

Early explorations leaned too heavily on navigation with multiple cards routing to separate pages, overlapping entry points, and deeper drill-down flows that added complexity without improving comprehension. After a few passes I restructured the dashboard to show high-level portfolio context first, then deeper detail and trends available on demand.

I also wanted the dashboard to feel engaging enough that users would want to return to it regularly, not just check it once and leave. Instead of burying insights inside tables, I used interactive visualizations throughout the dashboard to encourage exploration, allowing users to filter activity, compare assets, and uncover trends directly within the interface.

The final direction used Gemini’s existing modular card system to surface the most important information immediately while still supporting deeper exploration.

Designing around market behavior

One of the more complicated UX problems surfaced during testing around reward valuation: users were confused by the reward total at the top of the dashboard:

Did the number represent what they originally earned or the current market value after fluctuations?

That ambiguity mattered because crypto rewards behave differently from traditional cashback. If someone earned $50 in Bitcoin and it later appreciated to $80, both values carried meaning. I redesigned the reward summary to clearly separate earned reward value vs. current market performance.

This helped users distinguish between spending rewards and investment growth at a glance.

Treating edge cases as core flows

Testing also exposed several scenarios the initial concepts didn’t fully account for. Rather than treating these as secondary screens, I folded them into the core system design. The final deliverables included responsive layouts, empty states, loading states, error handling, and multi-crypto portfolio behavior across mobile and web.

FINAL DESIGNS

The final experience shipped across mobile and web in both light and dark modes. The redesigned dashboard shifted the experience away from transaction tracking and toward portfolio understanding:

->

Rewards performance became the primary focus

->

Interactive visualizations replaced list-heavy layouts

->

Spending and earning trends became more visible

->

Rewards were organized around crypto ownership instead of merchant activity

On desktop, the existing column-based layout system introduced additional constraints around density and discoverability. To reduce cognitive overload, some modules only appeared contextually based on filtering and interaction behavior.

For example, selecting a cryptocurrency within the performance graphs dynamically filtered the activity feed to match that asset.


On desktop, the existing column-based layout system introduced additional constraints around density and discoverability. To reduce cognitive overload, some modules only appeared contextually based on filtering and interaction behavior.

For example, selecting a cryptocurrency within the performance graphs dynamically filtered the activity feed to match that asset.

REFLECTION

This project changed how I think about dashboard design, especially the difference between displaying information and helping users build a mental model.

Working independently gave me a lot of ownership and a lot of blind spots at the same time. Looking back, I would involve cross-functional collaborators earlier. Several important edge cases (particularly around reward valuation and multi-crypto ownership) likely could’ve surfaced sooner through earlier conversations with PMs and engineers.

I’d also approach research with stronger hypotheses upfront. Early on, I explored a very broad range of rewards ecosystems when more focused assumptions probably would’ve helped narrow the process faster.

What I’m still happiest with is how strongly the final hierarchy reflected actual user priorities. Once the dashboard stopped behaving like a transaction ledger and started behaving more like a portfolio experience, the product’s value became much clearer.

liurcatherine@gmail.com