FinEdge

A self-initiated fintech UX case study unified banking, payments, and investing in one calm, intelligent mobile experience.

Fintech

Product Design

Type

Lead Product & Interaction Designer

Scope

4 weeks

Platform

Self-Initiated Concept Project

Domain

Mobile Application

A Financial Ecosystem, Not Just an App

Unlike most fintech apps that solve one problem, FinEdge was designed as a platform where every module shares context, every action is intelligent, and trust is built through transparency.



ROLE

Interaction Designer End-to-End

PLATFORM

iOS Mobile Application

TIMELINE

6 Weeks · Self-Initiated

DELIVERABLES

UX ResearchUser FlowsIADesign SystemHi-Fi Prototype

Industry

Finance / Fintech

Project Timeline

6 Week

CONSTRAINTS

Solo designer · No user testing · Concept only · All metrics are intended impact

TOOLS

Figma, FigJam, Maze, Notion

FinEdge reimagines personal finance as one intelligent ecosystem AI banking, smart analytics, secure payments, and guided investing, all in one place.


The Problem

Finance Is Broken for Real People

Despite the proliferation of fintech apps, most users still feel overwhelmed, confused, or disengaged by their financial products. We set out to understand why.

The Problems

  • Financial data is scattered across 4–6 apps banking, UPI, investments, and expense tracking never talk to each other

  • Fintech apps react, they don't guide users only discover problems after the damage is done

  • Investing feels like it's not for me complex jargon and intimidating flows push most users away before they even start

The Opportunities

  • One home for your entire financial life where every module shares context and nothing feels siloed

  • From reactive to proactive AI that nudges, alerts, and coaches before things go wrong

  • Make the first investment feel like an achievement not a risk

Target Audience

FinEdge was designed for modern users who manage banking, payments, investments, and spending digitally.

The primary audience includes:

  • Young professionals

  • Freelancers & gig workers

  • Digital-first users

  • Small business owners

These users value simplicity, speed, financial visibility, and smarter money management.

Project Timeline


Research

Understanding Real Users

Before designing anything, I listened. Interviews, competitive audits, and secondary research shaped every decision that followed.

Research Methods

  • Qualitative interviews with 8 fintech users (ages 22–45)- pain points, habits, trust concerns

  • Competitive audit - CRED, Paytm, PhonePe, INDmoney, Zerodha, Revolut

  • Secondary research - RBI reports, NPCI data, fintech UX studies

  • Usability benchmarking of existing onboarding and payment flows

Key Research Findings

  • 73% - Check banking app daily but feel it doesn't actually help them

  • 4.2 - Average number of financial apps a user maintains simultaneously

  • 68% - Never started investing fear and complexity cited as top reasons

  • 89% - Want proactive alerts but current apps only notify after the fact

User Quotes

Interview Participant, Age 27

I have Paytm for payments, HDFC for banking, Zerodha for stocks, and a random app for budget tracking. They don't talk to each other. I feel like my financial life is scattered.

Interview Participant, Age 32
I want my banking app to tell me 'hey, you usually overspend on weekends. here's what happened last week. Right now I just see numbers


User Personas


Define

The Problem Statement

How Might We Questions

  1. HMW 01 - How might we unify all financial data without overwhelming the user with too much at once?

  2. HMW 02 - How might we surface financial insights proactively before problems occur rather than after?

  3. HMW 03 - How might we make investing feel safe and accessible for someone who has never started?

  4. HMW 04 - How might we turn security verification into a trust-building moment rather than a frustrating blocker?

  5. HMW 05 - How might we design an AI assistant that feels genuinely contextual knowing your goals, habits, and history rather than a generic chatbot?


Empathy Map

Inside the User's Mind

A synthesis of interview insights for our primary persona capturing the emotional and behavioural landscape FinEdge was designed to address.

Key Insights Derived from Empathy Map
How this Shaped FinEdge's Design

Design Process

How I Got from Insight to Interface

A structured, iterative process grounded in research, tested early, and refined continuously.


Information Architecture

Structuring the ecosystem

Before touching pixels, I mapped the complete product architecture ensuring every module was discoverable, logical, and consistent with user mental models.

Design Principles

Principle 01

Propose, Don't Store - The system should surface intelligent recommendations not require users to assemble insights from raw data. Every view defaults to a suggested action the user can accept, modify, or dismiss.

Principle 02

Trust is Designed, Not Assumed - Every interaction must actively build trust through clear language, visible security, and honest data presentation. If a screen can be read as confusing or suspicious, it must be redesigned.

Principle 03

One Data Layer, Many Views - All six modules read from the same data model. A savings goal set in Wealth becomes a nudge on Home and a budget rule in Analytics the experience feels connected because it genuinely is.

Principle 04

Complexity Earns Its Place - Advanced features exist but are never the first thing shown. Progressive disclosure ensures new users feel calm while experienced users can access full depth nobody is excluded in either direction.


Core Feature

Six pillars of the FinEdge ecosystem

Each feature was designed to solve a specific user pain point and together they form a coherent, intelligent financial platform.


High-fidelity Screens

60+ screens across 8 user flows

From the first onboarding screen to advanced AI interactions every flow was designed to reduce cognitive load, build trust, and reward engagement.

Click on the images to view Figma File

Before & After

What Changed and Why It Matters

The most persuasive section for any hiring manager not what was built, but what problem it solved and how it measurably improved the experience.

BEFORE FINEDGE

  • Users juggled 4–6 separate apps with no shared context or unified view

  • Payment status was ambiguous no clear visual states for pending or failed

  • Investment onboarding required prior knowledge new investors felt excluded

  • Security flows (KYC, biometrics) were buried and felt like punishment

  • AI features were generic chatbots not aware of the user's actual data

AFTER FINEDGE

  • One platform with six integrated modules every section shares the same data layer

  • Four-state colour-coded payment system Initiated, Pending, Settled, Failed instantly readable

  • 5-step investment onboarding with risk quiz and ₹100 first step designed for first-timers

  • Security redesigned as trust rituals Face ID and KYC earn visible badges on profile

  • AI surfaces contextually across Home, Analytics, and Payments not just in a chat window


Design System

Built for trust, scale, and intelligence

The FinEdge Design System was built from the ground up - a cohesive set of colour tokens, typography scales, component patterns, and interaction guidelines that make the product feel like one unified experience across every screen.

Every colour has a job. Blues build trust, greens signal growth, orange drives action and nothing is decorative.

Colour Philosophy

Blues build trust, greens represent growth, oranges signal action every colour choice is intentional and meets WCAG 2.1 AA contrast standards.

Typography

Built once, used everywhere. A shared type scale kept 40+ screens consistent. Display uses Syne for personality, body uses Inter for readability.

Components

Accessibility wasn't an afterthought it was a constraint that made every decision more intentional. Touch targets minimum 44×44pt throughout.

Typography Scale & Component Library

Built once, used everywhere. A shared type scale and component library kept 60+ screens consistent without a single guessing game.

Accessibility

  • All colour combinations meet WCAG 2.1 AA standards

  • Minimum contrast ratio of 4.5:1 for normal text

  • Colour is always used with icons, text, or shapes never alone

  • Touch targets minimum 44×44pt

  • Dark Mode ready all tokens designed for both modes

Accessibility wasn't an afterthought it was a constraint that made every design decision more intentional.

Design Decisions

Every Choice Traced Back
to a User Insight

These weren't aesthetic decisions each was driven by a research finding, a user frustration, or a constraint that shaped the solution.

AI as Co-Pilot, Not a Chatbot

FinEdge AI isn't a drawer you open it surfaces across home, analytics, and payments, offering intelligence exactly when it's relevant. Not when you ask.

89% of users wanted proactive guidance, not reactive answers

Security as Trust, Not Friction

Biometric setup and KYC are the most abandoned flows in fintech. We redesigned them as rituals Face ID explains what we protect and why, and every completed step earns a visible trust badge.

Reframing "verify yourself" as "protect yourself" changed completion intent

Investing Starts at ₹100

68% of our users had never invested not because they couldn't afford to, but because the flows felt exclusionary. A simple risk quiz, plain language, and one small first step changed that.

Inspired by Duolingo's start-small, build-confidence pattern


Reflections & Learnings

What I Learned Building FinEdge

This project pushed me to think like a product strategist, not just a visual designer here's what I took away.

System Before Screens

  • The design system had to come before the screens. Every colour, spacing unit, and component token defined upfront saved enormous time across 40+ screens. Consistency is designed in it doesn't just happen.

Trust is the Product

  • In fintech, users aren't evaluating your UI they're evaluating whether they trust you with their money. Every decision needs one answer: does this build trust or break it?

AI UX is Still Untapped

  • Most AI in finance is a reactive chatbot. The real opportunity is proactive intelligence surfacing the right insight at the right moment, without the user ever needing to ask.

Complexity Deserves Clarity

  • Financial data is inherently complex. The designer's job isn't to simplify reality it's to make complexity navigable. Hierarchy, progressive disclosure, and plain language aren't visual choices. They're UX infrastructure.


FinEdge isn't just a portfolio piece.
It's a point of view.

Let's Talk

I'm most energized by projects where UX and motion come together complex problems, smart collaborators, and experiences that genuinely improve someone's day.

Comment

CharanRaj

Open to full-time roles and interesting conversations about UX, motion, and hard design problems.

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