AI-Powered Financial Wellness

Goal

To design a financial wellness experience that increases engagement and supports smarter financial decisions using AI, measured by a 20% increase in interaction with insights, improved task success rates, and higher SUS usability scores.

My role

I led the research, product discovery, design prototyping, and testing for this concept, using Gemini Deep Research and Lovable AI to inform the UI experience. I collaborated cross-functionally with Product and Design to align on vision and execution.

Impact

Insights from this concept are now shaping client conversations around a complete and more personalized Financial Wellness overhaul.

Before and after

Where we started

During the Retail Banking Revamp, most of our focus was on improving the app's dashboard and overall information architecture. We streamlined navigation and reduced friction across core user flows.

At the time, the Financial Insights page was largely out of scope. It existed as a generic screen with limited insights or personalization — and user engagement was low. We saw an opportunity to revisit this underutilized area and reimagine how insights could feel more actionable, emotionally supportive, and easy to act on.

Our first steps

Revisited existing analytics to understand how users were interacting with the Financial Insights page.
Reviewed prior research from the Retail Banking Revamp, focusing on navigation, dashboard usage, and content hierarchy.
Began experimenting with our internal AI toolkit: Notebook LM, Gemini Deep Research, Lovable AI, and Figma Make.

Financial wellness survey report — Financial insights research report

Discovery

Here's what I did:

Survey review: I revisited a previously run financial wellness survey with 397 participants across the US, UK, and Canada to identify what people expect from financial dashboards. Key findings shaped early decisions around clarity, forecasting, and actionable guidance.

Segment & persona alignment: I used Gemini Deep Research to surface behavioral segments and mapped these against existing personas to clarify needs, goals, and pain points across different user types.

Prompt design & ideation: I created a structured prompt combining survey themes, behavioral segments, and tone considerations, and input it into Lovable AI to generate actionable nudges.

Rapid concept iteration: I translated the AI nudges into a first concept prototype, integrating forecasting, debt tracking, and contextual guidance. Internal feedback and helped refine this direction.

Concept exploration: layout variations

I explored multiple ways to organize and prioritize financial insights. Each layout tested different strategies for reducing overwhelm and guiding user focus.

Concept design

Impact

Research results show participants are overwhelmingly positive about the redesign
The concept is influencing broader client conversations about Financial Wellness overhaul
Demonstrated how to integrate AI throughout the design process in ways that enhance rather than disrupt user experiences