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Redefining How Students Make Financial Decisions

03

In this project, I redesigned a student budgeting experience by shifting focus from passive expense tracking to guided decision-making ; helping users understand their spending, reduce overwhelm, and take confident financial actions.

RoleProduct Designer
Project Duration2 months
ToolsFigma, FigJam
CategoryFintech

Summary

A quick overview of how student budgeting can be simplified into clear and easy financial decisions.

Reimagined how student budgeting apps should work. Instead of overwhelming users with numbers, I focused on making money management simple and easy to understand.

The experience is designed to guide students toward better spending habits, not just track expenses. By simplifying information and presenting it in a clear way, it helps users understand their finances faster and make confident decisions.

Faster Insights

40%

Smarter Spending

35%

Lower Drop-offs

50%

More Engagement

25%

Summary mockup

The Problem

Budgeting tools rely heavily on data presentation but fail to support decision-making. Users are left to interpret complex charts and fragmented information on their own.

Information Overload

Information Overload

Too many categories and charts make it difficult to identify what actually matters.

Lack of Direction

Lack of Direction

Users see data but don't know what actions to take.

High Cognitive Effort

High Cognitive Effort

Understanding finances requires time and mental effort, leading to drop-offs.

Users and Research

Why it Started ?

Budgeting apps focus heavily on tracking but fail to support real decision-making. Users are exposed to fragmented data across charts and categories, creating confusion instead of clarity.

Who are we solving for?

Students and early professionals manage limited monthly budgets with frequent small expenses. They rely on quick decisions and need clear, easy-to-understand insights in seconds.

How are we solving it?

We shift the experience from tracking expenses to guiding decisions through structured insights. By reducing cognitive load and surfacing only relevant information, users can quickly understand and act.

Research Approach

Research Approach

Focused on understanding how users interpret financial data rather than how they input it.

AI Opportunity

AI Opportunity

AI allows the product to move from passive reporting to proactive financial assistance.

Frustrations and Findings

Users struggled to interpret their financial data due to cluttered interfaces and lack of clear direction. Instead of enabling decisions, existing experiences required effort, leading to confusion, hesitation, and inconsistent usage.

Pain points identified

Where is my money actually going?
Am I overspending or doing okay?
Can I afford this right now?
Why did I run out of money early?
What should I cut down on?
How much can I safely spend today?
Which expenses matter the most?
How do I stay within my budget?
What should I do next?
Am I improving or getting worse?

Design Concept

Guided Financial Clarity

Simplified the interface to highlight only what truly matters for quick understanding.

  • Removed excessive charts and unnecessary categories
  • Prioritized key metrics like balance and budget status
  • Simplified hierarchy for faster visual scanning
  • Structured content for clarity and readability
  • Focused on showing only relevant information
Guided Financial Clarity

Decision-First Experience

Reframed the experience to support decisions instead of passive tracking.

  • Shifted focus from data display to decision support
  • Added real-time feedback during user actions
  • Reduced steps to understand spending impact
  • Designed flows around key user questions
  • Eliminated delays between action and insight
  • Enabled faster, more confident decisions
Decision-First Experience

AI-Driven Financial Guidance

Introduced intelligence to guide users with relevant and timely insights.

  • Replaced static summaries with contextual insights
  • Reduced need for manual data interpretation
  • Highlighted actions instead of raw information
  • Positioned AI as a decision support system
  • Enabled proactive financial guidance
AI-Driven Financial Guidance

User Testing

This phase focused on validating how users understand insights and make financial decisions using the redesigned experience.

The wins that made me happy

Tested the experience with students to evaluate how effectively it supports real financial decisions. Users were able to quickly understand their financial state without interpreting complex charts or fragmented data. Core actions like tracking spending and adding expenses felt more intuitive and required less effort.

The experience increased user confidence by providing clear, actionable insights at the right moments. Participants reported feeling more in control of their finances and less overwhelmed. This validated the shift from passive tracking to a guided, decision-first experience.

Testing 1
Testing 2

Snippets

Before & After

Before
Before
After
After

Designs and explorations

Design Explorations

Design Impact

50%Lower Drop-offs
40%Faster Decision Making
25%More Engagement
35%Smarter Spending

Learnings

  • Clarity in financial products matters more than data density
  • Users prefer quick answers over detailed analysis
  • Reducing cognitive load improves decision confidence
  • Contextual insights are more valuable than static dashboards
  • Decision support drives engagement better than tracking
  • Simplicity directly impacts long-term product adoption