Revamping legacy salesforce code to improve user satisfaction: A success story
Our client is the largest U.S.-based organization representing scientists, psychologists, clinicians, educators, and students. Their Salesforce implementation, which had been in place for over 12 years, had accumulated significant technical debt, leading to performance degradation.
The organization sought a technology partner to revamp their existing Salesforce environment by refactoring outdated implementations and leveraging modern, no-code solutions. Their primary goal was to improve system performance and accelerate business operations without disrupting ongoing processes.
We conducted a comprehensive assessment of their Salesforce Sales Cloud, identifying areas of performance bottlenecks and inefficiencies. Our team devised a strategic refactoring plan, eliminating redundant elements and optimizing workflows with no-code automation tools to enhance agility.

- Data creation and updates took significantly longer due to accumulated technical debt. Large-volume processing suffered from inefficiencies, slowing down key operations.
- Over the years, redundant fields and outdated code structures led to system clutter. Even unused legacy components affected the overall execution time of transactions.
- Older logic required manual code modifications, making updates slow and complex. Business teams experienced frustration with long wait times for system changes.
- Mapped out critical bottlenecks in business processes to pinpoint inefficiencies. Conducted a thorough audit to identify redundant processes and unused components.
- Removed outdated data models and legacy code that no longer served business needs. Re-engineered critical processes for improved execution speed and efficiency.
- Converted existing code-based logic into declarative, no-code solutions. Implemented automation tools to reduce dependence on manual intervention.
60%
Increase in user satisfaction
as transaction times significantly improved.
40%
Faster response time
for change requests, allowing for quicker business adaptability.
30%
Reduction in processing delays
leading to smoother and more efficient operations.
Eliminated obsolete code and optimized workflows
creating a scalable system for future enhancements.


