Build-Operate-Transfer (BOT): The Fastest Way to Stand Up a QA Center for Your India GCC
A leading telecom operator in India runs high-traffic digital platforms.
The ecosystem includes:
Consumer mobile apps
Web platforms
Payments
Value-added services
Internal systems
The platform supports frequent releases.
The user base spans regions, devices, and network conditions.
The digital ecosystem faced constant pressure.
Key challenges included:
Heavy device and network fragmentation
High-volume digital journeys
Frequent releases with tight timelines
Large-scale migration programs
Multiple concurrent digital initiatives
The risk was clear.
Small issues could slip into production and impact millions of users.
Qualitrix owned end-to-end UAT delivery.
The engagement started in 2017 and scaled over time.
Coverage included:
Mobile applications
Web platforms
Internal enterprise systems
Payments and value-added services
The QA model combined:
Functional testing
Non-functional testing
Regression testing
Crowdsourced testing
Automation
The approach focused on scale, speed, and control.
Key activities included:
Creation and validation of 2,200+ test cases
End-to-end testing across mobile, web, and APIs
Multi-device testing across 30+ devices
Pan-India testing across 23 states
Crowdsourced testing for real network scenarios
Automation was embedded to support frequent releases.
End-to-end automation flows executed on multi-device cloud setups
Parallel execution enabled faster feedback cycles
QA governance was centralized.
Defects tracked and managed through structured workflows
Test execution mapped to user stories and releases
Clear go/no-go decisions before production
Qualitrix supported multiple strategic initiatives.
These included:
Digital app launches
Platform migrations
New payment gateway rollouts
Content and catalog changes
Value-added services testing
Large-scale user journey validations
One major focus area was migration programs.
UAT ownership during platform transitions
Validation of business-critical flows
Production sanity checks post-release
A dedicated QA team worked across squads.
15-member team
Multiple domain-aligned squads
Coverage spanned:
Mobile apps
Web platforms
Payments
Data and analytics
Digital onboarding journeys
The team participated in:
Daily stand-ups
Sprint ceremonies
Walkthrough sessions
Production sanity validation
Testing types included:
Functional testing for digital journeys
Multi-device and multi-network testing
Crowdsourced user testing
Payment gateway testing
Non-functional testing
Design collaboration was also part of UAT.
QA worked with design teams
Visual and experience issues flagged early
Design gaps corrected before release
The engagement delivered consistent results.
Measured outcomes included:
95 percent defect detection before production
100 percent sprint releases delivered on time
60 percent reduction in production issues
Additional outcomes:
Improved app quality
Higher customer trust
Stable releases without emergency hotfixes
Scalable QA model across products and regions
The QA model supported long-term digital growth.
Key benefits:
Predictable release cycles
Scalable QA across new initiatives
Strong governance during high-change programs
Consistent user experience across devices and networks
Quality assurance moved from a checkpoint to a release enabler.
Summary
Managing quality at telecom scale demands more than testing.
It requires:
Structured UAT ownership
Real-world device and network coverage
Automation at scale
Strong governance
This engagement demonstrates how disciplined UAT can support continuous digital change without compromising user experience.
