Case Study

When our Client wanted to integrate Einstein AI recommendations to deliver a more personalized shopping experience, this resulted in an increase in Average Order Value (AOV) and minimized the manual effort needed to create curated looks for shoppers.

When our Client, a maker of popular Virtual Reality headsets, began to explore ways in which they could leverage virtual machines in the cloud to handle all rendering remotely, we helped them to achieve 57 global test reports, 17 targeted test reports, 2100+ unreliability reports and 6 activity trend reports

Qualitest leveraged its data collection expertise to recruit 300+ diverse participants for bias testing of a health and fitness device, ensuring inclusive, high-quality human audio data at our ISO27001-compliant Q TestLab.

Early testing and data confirmed that the device was struggling with strong accents and varied tones or pitches. The company needed more data to build the patches necessary to improve its voice-recognition software. To capture these speech tones and patterns management decided to leverage its diverse employee population to “dogfood” the technology for capturing speech tones and patterns.

Our Client needed data collection from home environments to evaluate their AR/VR products’ performance for launch readiness and for corner-case training (i.e., training data for hard-to-track environments).

Our Client requested that we debug the hardware devices on various build channels to pin down the issue. We approached the challenge by testing all the available mainline build channels, and then — utilizing bug reports, screenshots, and videos — presented our findings to the developers to show specific problems in production.

A multinational technology corporation that produces computer software, consumer electronics, personal computers, and related services needed to improve its user identification algorithms within very tight timeframes. The firm contracted with Qualitest to help solve their problem.

Qualitest was hired by a leading social network company to develop and drive a dogfooding program for their popular smart home consumer product. The objective was to provide the smart home product hardware devices to the client’s full-time employees to test at home.

A legendary film studio needed a new QA and testing firm with a proven track record to test new builds for its popular consumer TV streaming app and improve overall efficiency in testing, reporting bugs, and data collection. We partnered with our Client to create a foundation for future testing procedures to support its long-term strategy.

When our Client needed support with their AR/VR testing, it turned out to be one of the most complex projects the Ground Truth Data Services team had ever planned and executed. This case study demonstrates our ability to scope a complicated project, expand quickly, and adapt as a project evolves.

Testing for new VR systems was in uncharted territory. Besides handling a new device with cutting-edge technologies, our Client also had to ensure that all the components within the ecosystem worked together seamlessly to deliver an outstanding user experience via multiple platforms to a tech-savvy target market. This case study shows how our onsite and offsite teams worked together to help the client ensure a successful launch within a tight timeline.

Our client, a leading social network company, produces devices that allow their customers to connect with friends, families, and business partners and schedule social events worldwide via the web using their Smart Home device and TV products with the latest a11y and l10n capabilities built-in. This case study shows how our QA team assisted this client in troubleshooting faulty hardware and recommended the most cost-effective ways to fix this so it can ship flawless devices to customers quickly.