Key Highlights

  • In this success story, a Fintech provider faced challenges with outdated scripts, poor test coverage, and homegrown QE processes.
  • OptiSol partnered with the client to design an integrated QE framework that enhanced automation, improved test data management, and refined coverage efficiency.
  • The solution incorporated a market-oriented and time-driven approach to streamline critical user journeys and optimize regression testing.
  • As a result, the client reduced testing costs, minimized defect leakages, and accelerated their product’s time-to-market.

Problem Statement

01

Outdated Automation Scripts: The client struggled with broken and outdated scripts that couldn’t keep pace with product evolution.

02

Lack of Test Coverage and Efficiency: Absence of comprehensive regression suites led to poor validation and inefficiencies in QE practices.

03

Cross-Browser and Cross-Platform Compatibility: Ensuring performance across multiple browsers and operating systems posed challenges.

04

Dynamic Data Simulation Missing: Without real-time testing for bulk workloads, performance issues often went undetected until late stages.

04

Homegrown QE Processes: Inefficient, non-scalable processes failed to support the growing functional breadth of the product portfolio.

Solution Overview

01

OptiSol created a robust quality engineering framework that integrated automation, test data management, and coverage efficiency.

02

Repurposed automation with a market-driven approach, refining existing scripts and developing new ones to target critical user journeys.

03

Adopted a time-centric testing strategy, prioritizing high-impact workflows and mission-critical processes for maximum efficiency.

04

Applied the Pareto principle to focus on the 20% of issues driving 80% of problems, optimizing regression coverage patterns.

05

Conducted data profiling and employed synthetic data techniques to simulate real-world scenarios, improving performance testing.

Business Impact

01

Faster Time-to-Market: Optimized QE practices shortened the product testing lifecycle by 30%, enabling quicker release cycles.

02

Safeguarded Reputation: Enhanced regression coverage reduced defect leakages by 40%, strengthening product reliability and trust.

03

Streamlined Efficiency: Eliminating manual regression saved 50% in time and 40% in costs, significantly improving QE efficiency.

About The Project

OptiSol collaborated with a Fintech leader to replace outdated QE practices with a robust, integrated framework. By modernizing automation, strengthening test coverage, and adopting synthetic data for real-time testing, the client achieved faster releases, minimized risks, and improved cost efficiency. This transformation ensured the scalability and reliability of their Fintech product suite in a competitive market.

Technology Stack

FAQs:

What were the primary challenges faced by the client?

The client struggled with outdated automation scripts, poor test coverage, lack of cross-platform validation, and inefficient homegrown QE processes, which slowed releases and increased risks.

How did OptiSol improve the automation framework?

OptiSol repurposed existing scripts, developed new ones for critical user journeys, and integrated test data management to create a scalable and efficient automation framework.

What unique approaches were adopted in the solution?

We introduced a market-driven and time-centric strategy, applied the Pareto principle to optimize regression testing, and used synthetic data techniques to simulate real-world performance scenarios.

What measurable benefits did the client achieve?

The client realized a 30% faster time-to-market, 40% reduction in defect leakages, 50% time savings, and 40% cost savings, strengthening both efficiency and reliability.

How does the new QE framework support scalability?

The framework ensures cross-browser and cross-platform compatibility, efficient test coverage, and automation scalability, empowering the client to meet evolving product and market demands.

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