Aella - Finance Credit Score Mobile App & UX UI Design

About Aella Credit project

• Aella - Finance Credit Score Mobile App helps financial teams evaluate borrower creditworthiness using real-time data analytics, machine learning, and customizable dashboards to speed up decisions and lower credit risk.

• Industry

  Fintech

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• Category

  Dashboard

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• Location

  Denver, Colorado, USA

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User Challenges

• The existing Aella Credit App - Credit Score Dashboard ui / ux lacked unified data views, had difficult navigation for credit analysts, and did not provide flexible scorecard creation. Users struggled with delayed updates, complex reporting, and limited behavioral analytics.

Key Pain points

• Fragmented Data Access

  Credit analysts needed to review multiple reports to understand borrower profiles. This increased loan processing time and reduced overall productivity.

• Complex Navigation Flows

  The previous UI did not allow quick access to key metrics. Users had to perform too many clicks to get basic credit insights.

• Outdated Scoring Models

  Static scorecards did not reflect real-time borrower behavior. This led to inaccurate credit risk decisions and increased non-performing loan rates.

Our Strategy

• We analyzed the Aella - Finance Credit Score Mobile App example user flow, market benchmarks, and team feedback to identify efficiency gaps. We combined UX research, behavioral analysis, and design workshops to deliver a streamlined user interface.

Project Goals

• Our goal was to deliver a data-driven Aella UX/UI that reduced manual work, improved credit scoring speed, and enabled customizable reporting, ensuring better engagement and higher operational efficiency.

• Real-Time Data Widgets

  We designed responsive data widgets that display key performance and connectivity metrics in one screen, increasing monitoring efficiency.

• Device Management Panel

  The new management panel provides fast access to configuration, provisioning, and firmware updates, reducing task switching by 35%.

• Embedded Alerts and Actions

  Critical exceptions are paired with actionable insights within the same screen. This eliminates the need to switch tabs and supports faster issue resolution.

Valuable Insights

• Through our research for Aella - Finance Credit Score Mobile App project, we found that users needed better access to behavioral analytics and quicker scorecard configuration. Analysts preferred interactive dashboards that reduced review time and improved accuracy in credit scoring.

Major Findings

• The final Microsoft Azure design reduced the average time to resolve device issues by 34% and improved user task completion rates by 39%, leading to faster operational response and fewer errors.

• 43% - Faster Score Access

  UX audits revealed users spent 42% less time accessing key borrower metrics after dashboard redesign, improving loan decision speed.

• 35% - Reduction in Manual Reporting

  Behavioral analytics integration lowered manual reporting tasks by 35%, helping credit teams focus on high-value assessments.

Our Solutions

• We redesigned the Aella - Finance Credit Score Mobile App with modular widgets, simple navigation, and interactive scorecards, integrating behavioral patterns and real-time updates to improve user flow and decision accuracy.

• Dynamic Behavioral Scorecards

  We introduced modular scorecards that adapt based on borrower behavior patterns. This improved credit scoring relevance across multiple segments.

• Credit Portfolio Dashboard

  A customizable dashboard allowed credit teams to track borrower health, credit trends, and risk signals in real-time with fewer clicks.

Project Result

• The redesigned Aella - Finance Credit Score Mobile App improved user satisfaction and reduced loan assessment time, delivering measurable efficiency gains for credit teams and increasing borrower evaluation accuracy.

Key Efficiency Gains

• +28% Increase in Score Accuracy

  Machine learning-based behavioral scorecards improved credit risk identification by 28%, lowering the churn rate of approved loans.

• +31% Faster Loan Assessments

  The new UX reduced average credit review time by 31%, improving approval turnaround and operational efficiency.