Improve user experiences with pre- and post-release testing on a QA data science platform

by Gaurav Mathur

Managing Director, Headspin

In digital business, user experience is key to engagement. But mobile apps and websites often encounter costly performance glitches that can jeopardize sales or hold back customer relationships.

The pandemic rapidly accelerated the adoption of all kinds of digital experiences: retail, media, banking, and others. New digital-native products took advantage of the disruption, promising a better digital experience. Less mature businesses scrambled to adapt and compete. They often found their applications weren’t meeting consumer expectations—just when they needed their technology to scale and perform under pressure.

What causes user experiences to degrade? The answer isn’t always obvious. What DevOps can’t see, they can’t fix—or prevent. DevOps teams need to roll out features or updates frequently, as often as multiple times a week or even daily. QA test automation and performance monitoring help your team maintain continuous delivery and ensure that both the user experience and product sales meet your objectives.

Transform QA testing with a Global Device Network and ML-based insights

For many teams, QA testing automation may be limited to synthetic web and browser testing and mobile device emulators. Often simulations are substituted for real-world network and edge conditions. But with the increasing variety of mobile devices and the variability of local carrier and WiFi networks, these approaches alone cannot provide insights or visibility into all the performance factors that may degrade the user experience.

With that in mind, our team at HeadSpin wanted to offer a deeper solution. We knew QA automation could provide more insight, and we built our platform to support optimizing user experience for any digital application. Ask yourself:

  • Does your QA operations give your team confidence about user experience KPIs, such as:

    • optimal app performance across all supported devices?
    • optimal UX across all available geographies?
  • Does your QA automation provide:

    • visualizations of how your application performs against your user experience KPIs?
    • diagnoses of performance issues such as load times, page content, and blank and frozen screens?
    • recommendations for fixes?

With HeadSpin Compass™, you can test your application on real devices, in real locations, through our platform network. Currently, HeadSpin Compass’s network includes 87 iOS and Android devices in 17 countries. We’ll continue to grow the network based on customer demand.

HeadSpin Compass’s machine learning algorithms can pinpoint a full spectrum of issues that degrade the user experience and cause a high bounce rate: poor load times for page content, blank screens, slow-loading videos, and more.

HeadSpin Compass dashboard The HeadSpin Compass dashboard provides your operations team with machine-learning-based insights and recommendations aimed at identifying performance problems for mobile applications either in development or production.

Customers are leveraging HeadSpin Compass as a cost-effective solution for automating their needs for functional, exploratory, and performance testing.

  • Functional automation happens in the CI/CD pipeline by executing a regression test suite against a variety of real local Compass devices
  • Exploratory testing comes from leveraging the Compass device cloud to verify app behavior
  • Performance testing for app deployments uses the device cloud to validate response times and profile the code

The synergy of HeadSpin and Red Hat OpenShift

Business and IT teams appreciate the choice, control, and freedom they get by building their digital applications with open source containerized platforms like Red Hat because it gives them the flexibility that protects their digital business models: they can deploy on-prem, edge, or on any public cloud, and vendor lock-in.

Likewise, the HeadSpin Compass platform operates on an open architecture, complementing your cloud-agnostic development operations with code-agnostic QA automation that’s easily managed in our dashboard. Together with Red Hat OpenShift, HeadSpin Compass assures optimal digital experiences with in-depth performance visibility and extensive key performance indicators (KPIs). We believe we’re uniquely differentiated in terms of our rich app, device, and network performance data for root cause analysis.

Extending your reach

HeadSpin Compass enables digital product design and development, QA, and reliability teams to test, measure, monitor, and analyze digital experiences that impact users worldwide.

The combination of HeadSpin Compass and Red Hat OpenShift’s robust, open, and secure containerized environment makes it easy for your DevOps team to achieve continuous delivery with ML-enhanced and automated testing. We believe that incorporating QA automation into your software development lifecycle will make your DevOps team far more productive. It will help your company sustain the healthy application performance critical to customer engagement, and it will also dramatically reduce the time-to-market for your apps.

Our results show we’re making a difference. HeadSpin Compass customers have seen a 90% reduction in their number of production issues, 30% faster development cycles, and 60% faster in-app load times. See how we can extend your team’s global reach to optimize your pre- or post-production apps with our potent combination of ML-based insights, strategically located mobile devices, and unmatched customer experience.

To learn more or to evaluate a free trial of HeadSpin Compass, visit our product page on Red Hat Marketplace.