Challenge

Our client, a multinational technology conglomerate, faced major challenges in the development of their AR/smart glasses. Quality management issues identified late in the lifecycle of the Gen-1 product resulted in significant launch delays. In addition, limited bandwidth and a shortage of expertise within their existing team was further hampering progress. Elsewhere, the absence of a dedicated system validation team to assume full ownership was a crucial hurdle to overcome.

Solution

Through their bespoke local-global managed service solution with dedicated test labs, Quest Global:

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Assumed full ownership of the multi-disciplinary system validation function and delivered comprehensive testing consultancy services

Delivered test strategy and test planning modules

Created test-case preparation and testing systems in key areas including industrial design/mechanical, electrical & electronics, camera, connectivity, audio, battery, power, and coexistence

Defined and developed test automation framework in line with specific requirements

Developed product and system validation protocols for both product case and glasses

Accelerated the set-up of multiple location test labs and teams critical for system validation of different streams including connectivity (Wi-Fi/BT), mechanical (fixture design, vibration/shock testing), electrical (coexistence, power testing), thermal, audio, camera, display, and more; and converged to deliver successful outcomes

Deployed Python for automation as key technology along with robotics

Delivered product-level KPIs and testing of multiple types and SKUs of devices

Results – At A Glance

Launched product on time with no launch blockers or post-launch market issues through an iterative and agile system-validation process

Product launched on time with no launch blockers or post-launch market issues through an iterative and agile system-validation process

Addressed the product and market requirements without impacting schedule and remained within budget

Addressed the product and market requirements without impacting schedule and remained within budget

Automation improved schedule efficiencies by 40% and resulted in 30% reduction in costs

Reduced sustenance engineering operational costs by 25-30%