Turning complex financial data into faster decision-making.

Helping users make faster, more confident financial decisions through centralized data and clear visual hierarchy. Designed with a strong background in dashboards and data-driven interfaces.

Sole designer responsible for end-to-end product design, from research and strategy through to high-fidelity prototyping and handoff.

  • Low and high fidelity prototypes
  • Requirements gathering
  • Reference studies
  • Interaction design studies

01./// Project Overview

Context

With a strong background in designing dashboards and data-driven interfaces, I saw in this project an opportunity to consolidate my experience into a complete financial management product.

Throughout the design process, I analyzed common behaviors found in budgeting and banking apps, identifying friction points related to navigation, data overload, and lack of actionable insights.

My Role & Responsibilities

  • Low and high fidelity prototypes
  • Requirements gathering
  • Reference studies
  • Interaction design studies
  • Feature studies
Low-fi wireframesLow-fi wireframes
High-fidelity wireframesHigh-fidelity wireframes

02./// Success Metrics

How success is measured

Acquisition

Sign-ups by channel

Understand where users with the highest retention potential come from

In numbersMonth-over-month growth above 10%

Activation

Bank connection

Ensure the user experiences the core value of the product in the 1st session

In numbers80% of connections successful on the 1st attempt

Manual transaction entry

Identify bank integration failures before they turn into user loss

In numbersLess than 30% of transactions entered manually

D7 activation event

Measure how many users connected at least 1 bank or added 3+ transactions in the 1st week, indicator that the user actually understood and used the product, not just signed up

In numbers60% of new users activated by D7

Retention

D7 / D30 / D90 retention

Understand at which point in time the product loses the user

In numbersD30 above 40%, D90 above 25%

Weekly session frequency

Distinguish engaged users from users who simply haven't cancelled

In numbers3+ weekly sessions among active users

Usage depth

Identify whether the user is exploring the product or just checking their balance

In numbers50% accessing at least 2 sections beyond the Home screen

Alert open rate

Validate whether spending notifications are delivering real value

In numbersAbove 35% open rate

Satisfaction

Support volume by issue type

Map where the interface fails before it becomes a scalability problem

In numbersLess than 5% of active users opening a ticket per month

NPS at D30

Capture silent dissatisfaction before it turns into cancellation

In numbersNPS above 40

03./// Project Images

Spending analysisSpending analysis
Dashboard overviewDashboard overview
Card managementCard management
Budget trackingBudget tracking
Financial insightsFinancial insights
Transaction tableTransaction table