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Credit Monitoringtrack your credit

Mobile DesignFinanceCredit

Credit monitoring app

credit monitoring app

CreditScore

Client

CreditScore

Industry

Fintech

Headquarters

Hungary

Services

Mobile Design

About project

CreditScore is a mobile-first credit monitoring platform that gives users real-time visibility into their credit health, score trends, and personalized improvement recommendations.

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Challenges & Solutions

Problem

Users lacked clear visibility into what was driving their credit scores and received generic advice that did not reflect their specific financial situation.

Solution

Zylo designed a personalized credit intelligence interface with structured score factor breakdowns, trend visualization, and actionable improvement pathways.

Process

1

Discovery

Credit data source mapping

User financial literacy research

Personalization framework design

Compliance review

Competitor benchmarking

2

Data Architecture

Bureau integration design

Scoring model structure

Recommendation engine

Alert system logic

Privacy compliance framework

3

Implementation

Data pipeline setup

Mobile optimization

Security auditing

App store deployment

System Architecture

A credit data aggregation layer processes bureau feeds in real time, runs factor analysis, and generates personalized recommendations through a structured scoring model.

System Architecture

Interface Engineering

Score cards, factor breakdowns, and trend charts are presented in a hierarchy that guides users from awareness to action without overwhelming them with raw data.

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Turning raw credit data into clear steps toward financial confidence.

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MOBILE-FIRST
EXECUTION

Mobile monitoring flows feature push alerts for score changes, biometric login, and offline access to last-synced credit reports.

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UI Kit

Component system covers score dials, factor impact bars, trend sparklines, alert banners, and recommendation cards with consistent financial data styling.

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AUTOMATION
FRAMEWORK

Score monitoring, bureau data refresh, alert triggers, and recommendation generation are fully automated to ensure users always see current intelligence.

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Design system

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Results

+52%

Increase in score improvement actions taken

4.8/5

App store rating across platforms

84%

Monthly active user retention rate

-39%

Reduction in user support tickets

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