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EEZ
Duration : 16 Weeks

Building Financial Fraud Resilience among young adults (Generation Z) by providing a Fraud Prevention Layer for Financial Institutions. A multi-layer intervention to prevent, assess and access support against fraud incidents.

A team effort by group of 4 students from MS Strategic Design & Management Program at Parsons School Design

Role :

Service Design

Product Strategist

GTM Analyst

Tools

Miro, Figma

Claude Code

Adobe Creative Cloud

Industry

SAAS

Finance

Fraud Resilience

Service Type

Community Engagement

Social Gathering

Volunteering

BACKGROUND

The fraud lands at 9:02AM.
The realisation? 24 hours later.

3.2 million Americans fall victim to this every year.

THE ISSUE

Why does this keep happening despite all the solution in place to stop it?

WHAT WE LEARNED

Banks can block unauthorised fraud. They cannot see the moment someone is manipulated into authorising it themselves.

RESEARCH METHODS

40+

Real Conversations with Participants & Victims

30+

Expert Advisory Interviews

05

Rounds of Activities & Tests

IDENTIFIED GAPS

The Fraud decision happens outside every system a financial institution ever built

Bank's Existing Fraud
stack activates here

User acts on it

FRAUD HAPPENS HERE
but no intervention exists

User Receives Fraud

Transaction

Detection

Dispute & Resolution

$5.75

The amount paid by US banks for every dollar lost, to retain consumer trust through fraud protection.

The Fraud Cycle

01

Young adults (age 18-28) are the most digitally active and highly targeted group, yet heavily underserved by existing tools.

02

The fraud victim journey map reveals that banks are often the first point of contact, where scripted processes can deepen isolation and shame.

03

Support organizations like CFPB, AARP, and ITRC offer guidance but remain disconnected from institutional fraud response systems.

OUR FOCUS

How might we close the gap between where fraud happens and where financial institutions can act?

PROTOTYPE

KEEPING IT SIMPLE

Fraud Prevention SaaS model for financial institutions to:  

Assess user vulnerability,
Nudge safer decisions,
Detect suspicious digital content, and
Support users with an SOS flow during fraud events.

BEFORE | ASSESS

So.... How Leakable are you?

A personality test but for your digital habits. The leakability score reflects the probability of a user falling for financial fraud based on their habits and behavioral patterns.

Based on the Score and its breakdown, the used is suggested a learning module.

DUIRNG | NUDGE | DETECT

AI-Powered Fraud Detector

A conversational real-time fraud analysis tool that provides a risk rating for suspicious messages, emails or other offers.

Flags and rates potential fraud signals based on available data.
Does not provide legal or financial advice.

AFTER | SUPPORT

SOS Mode

A structured guide for the most overwhelming moments, turning panic into a clear action plan.

It supports users after a risky decision or active fraud event has already begun. It adds a recovery pathway, strengthens trust, and expands the product from prevention into ongoing support, which also creates room for growth through an additional acquisation layer.