Legacy Audit & Stabilization for Nordic Consumer Bank
Challenge
The client serves over 1.5 million customers, focusing on high-value products such as car finance, consumer loans, and savings accounts. Their native iOS application is a critical touchpoint for users to monitor repayments and invoices.
However, the application—built on a mature codebase—began suffering from "calculation drift" and UI inconsistencies.
- Data Integrity Issues: Users occasionally saw incorrect loan balances or invoice sums due to legacy logic errors.
- Support Bottleneck: The bank's customer support team was overwhelmed with tickets reporting "wrong numbers" in the app, preventing them from handling critical financial inquiries.
- Stability: Intermittent crashes were affecting user trust during login and transaction flows.
The client serves over 1.5 million customers, focusing on high-value products such as car finance, consumer loans, and savings accounts. Their native iOS application is a critical touchpoint for users to monitor repayments and invoices.
However, the application—built on a mature codebase—began suffering from "calculation drift" and UI inconsistencies.
- Data Integrity Issues: Users occasionally saw incorrect loan balances or invoice sums due to legacy logic errors.
- Support Bottleneck: The bank's customer support team was overwhelmed with tickets reporting "wrong numbers" in the app, preventing them from handling critical financial inquiries.
- Stability: Intermittent crashes were affecting user trust during login and transaction flows.
Solution
We conducted a deep-dive audit into the application's legacy architecture to identify the root causes of data mismatches.
Key Initiatives:
- Logic & Calculation Audit: We traced the data flow from the backend API through CoreData persistence to the UI. We identified that specific edge cases in data parsing were causing rounding errors in loan summaries.
- Precision Refactoring: We rewrote the data handling logic to ensure 100% accuracy in how financial figures (sums, interest rates, and remaining balances) were calculated and displayed.
- Crash Resolution: By analyzing crash logs, we identified and patched memory management issues inherent in the older codebase, stabilizing the app for users on both newer and older iOS versions.
- UI/UX Alignment: Fixed layout bugs where correct data was being truncated or misaligned on different iPhone screen sizes, ensuring the "Total Due" was always clearly visible.
We conducted a deep-dive audit into the application's legacy architecture to identify the root causes of data mismatches.
Key Initiatives:
- Logic & Calculation Audit: We traced the data flow from the backend API through CoreData persistence to the UI. We identified that specific edge cases in data parsing were causing rounding errors in loan summaries.
- Precision Refactoring: We rewrote the data handling logic to ensure 100% accuracy in how financial figures (sums, interest rates, and remaining balances) were calculated and displayed.
- Crash Resolution: By analyzing crash logs, we identified and patched memory management issues inherent in the older codebase, stabilizing the app for users on both newer and older iOS versions.
- UI/UX Alignment: Fixed layout bugs where correct data was being truncated or misaligned on different iPhone screen sizes, ensuring the "Total Due" was always clearly visible.
Results
Our intervention restored confidence in the application's reliability and delivered measurable operational improvements.
- Restored Data Integrity: The primary goal was achieved—bugs causing incorrect display of sums and financial figures were eliminated. Users now see accurate, real-time data regarding their loans and savings.
- Reduced Support Load: By fixing the root cause of the "wrong balance" reports, we drastically reduced the volume of technical support tickets.
- Operational Efficiency: The bank’s support team was able to shift focus from troubleshooting app bugs to handling relevant banking inquiries and sales, optimizing their operational resources.
- Extended App Lifespan: By stabilizing the Objective-C codebase, we prolonged the life of the current app iteration, allowing the client to plan their future roadmap without urgent pressure to rewrite the app immediately.
Our intervention restored confidence in the application's reliability and delivered measurable operational improvements.
- Restored Data Integrity: The primary goal was achieved—bugs causing incorrect display of sums and financial figures were eliminated. Users now see accurate, real-time data regarding their loans and savings.
- Reduced Support Load: By fixing the root cause of the "wrong balance" reports, we drastically reduced the volume of technical support tickets.
- Operational Efficiency: The bank’s support team was able to shift focus from troubleshooting app bugs to handling relevant banking inquiries and sales, optimizing their operational resources.
- Extended App Lifespan: By stabilizing the Objective-C codebase, we prolonged the life of the current app iteration, allowing the client to plan their future roadmap without urgent pressure to rewrite the app immediately.