Snap One Accelerates Test Execution by 50% After Switching to TestMu AI

About Snap One

Snap One offers connected living and smart home solutions. They provide products or services for networking, audio/video (A/V) distribution, home automation, and security. These offerings are intended to improve the ease, functionality, and security of home and commercial spaces.

Snap One was founded nearly 20 years ago by industry vets, and they combine their expertise with feedback from pros and customers to deliver exceptional smart solutions. Snap One's products are used by businesses and consumers all over the world, and they are committed to providing their customers with the best possible experience.

Overcoming Testing Challenges: How Snap One Found Stability and Speed with TestMu AI

Snap One had been using another solution for their end-to-end (E2E) testing, but their testing team increasingly encountered intermittent challenges that hindered their progress.

Test flakiness became a persistent problem. A significant number of tests failed inconsistently, even when no code changes had been made. This inconsistency led to confusion and time-consuming troubleshooting, pulling the team away from more valuable work. Snap One’s testing processes were becoming slower, and the reporting and analytics tools they relied on were not providing the level of clarity they needed to diagnose and fix issues effectively.

Additionally, Snap One required a testing platform that would integrate smoothly with their behavior-driven development (BDD) processes. With Jenkins and GitHub forming the backbone of their CI/CD pipeline, the team needed smooth integration to keep the flow of collaboration uninterrupted.

Cross-browser testing for both iOS and Android became increasingly important as Snap One's range of products grew. Their problems got worse by the complex nature of setting up their Webdriver IO configuration, thus they required a more straightforward and expandable solution.

The search for a new testing partner began. Snap One wanted more than just reliability—they needed a partner who could accelerate their testing process, provide advanced analytics, and offer easy navigation to avoid the inefficiencies they faced.

This is when they found TestMu AI.

A Transformational Shift: How TestMu AI Empowered Snap One's Testing Journey

When Snap One made the decision to shift from another solution to TestMuAI, they were in search of a platform that could meet their complex demands and go beyond just providing functional test environments.

Eliminating Test Flakiness with TestMu AI Test Insights

Snap One previously struggled with frequent, intermittent test failures, causing time-consuming troubleshooting that diverted focus from critical tasks. TestMu AI's Test Insights provided unparalleled stability, leveraging advanced analytics to identify and address flaky tests proactively. Snap One's team was able to remove test variability, streamline procedures, and increase productivity by utilizing TestMu AI's dependable infrastructure.

Enhanced App Testing on 10000+ iOS and Android

As Snap One’s product offerings expanded, cross-browser testing on both iOS and Android became critical. Testing on real devices has been a priority, with more devices like the iPhone 15 added to handle high testing demands. This helped improve testing accuracy and reduced problems specific to devices, especially with iOS 17. Also automation on real devices increased as more device options became available, improving test coverage and accuracy for native app automation.

Advanced AI-Driven Analytics with Root Cause Analysis (RCA)

A standout benefit for Snap One was TestMu AI's comprehensive AI-driven analytics, particularly the inclusion of root cause analysis (RCA). With highly customizable reports that offered deep insights, Snap One could pinpoint the causes of test failures faster than ever before. This detailed reporting empowered the team to streamline RCA efforts, significantly speeding up their bug-fixing processes and enhancing their overall test efficiency.

Seamless BDD Integration and Simplified WebDriver IO Configuration with TestMu AI

Snap One's reliance on behavior-driven development (BDD) using Jenkins and GitHub required smooth integration with their CI/CD pipeline, which TestMu AI delivered effortlessly, ensuring uninterrupted collaboration. Additionally, TestMu AI's intuitive interface and clear documentation significantly simplified the time-intensive task of configuring WebDriver IO, enabling quick and efficient setup of automated testing environments.

Accelerated Testing with HyperExecute - Next Gen Testing Platform

Snap One's reliance on HyperExecute is an AI-native test execution platform developed by TestMu AI, designed to accelerate test execution by up to 70% compared to traditional test grids. It offers intelligent test orchestration, real-time console and execution logs, automatic report generation, and supports multiple operating systems and programming languages. HyperExecute enables scalable, reliable, and secure enterprise-grade testing, allowing teams to focus on crafting test cases while the platform efficiently manages execution.

Speed was a top priority for Snap One's testing team, and TestMu AI's HyperExecute delivered it in a big way. With faster test execution speed, Snap One's development team was able to run tests in parallel, cutting down on testing time and allowing them to release new updates rapidly while maintaining quality.

By addressing every pain point and introducing new efficiencies, TestMu AI became an essential partner in Snap One's pursuit of high-quality, high-speed software testing.

The Impact of TestMu AI on Snap One's Testing Efficiency

Switching to TestMu AI was a game-changer for Snap One, enabling faster and more reliable testing. By leveraging TestMu AI's advanced infrastructure, Snap One achieved significant improvements in their testing process, speeding up test execution and enhancing product quality.

One of the biggest wins was a 50% reduction in iOS test execution time, allowing Snap One to roll out updates and features much faster. The platform also provided 23% time savings for cross-browser testing on Chrome and Mozilla, optimizing workflows for greater efficiency.

TestMu AI's AI-native analytics became essential in identifying bottlenecks and streamlining the testing strategy. With root cause analysis (RCA) capabilities, Snap One quickly diagnosed issues, improving bug resolution speed and overall test efficiency.

Additionally, Snap One benefited from seamless functionality across 10000+ browsers and geolocations, ensuring consistent user experience worldwide. By using HyperExecute, they achieved faster testing, running multiple tests in parallel and reducing validation time for new builds.

Overall, TestMu AI helped Snap One accelerate their testing processes, improve quality, and enhance development agility.

Scaling Testing Efforts: Snap One's Strategic Use of TestMu AI Products

Snap One leveraged a combination of TestMu AI products to scale and optimize their testing processes, accelerating test execution and improving quality.

For web automation, Snap One ran multiple parallel sessions to test their web applications across multiple environments simultaneously, ensuring fast and thorough automation. 26.5k tests run in the last 30 days with an average of 600 tests per day, showcasing a strong automation framework.

In mobile app testing, Snap One again used multiple parallel sessions for native app automation. This approach significantly reduced testing time while maintaining consistent quality across iOS and Android devices.

With HyperExecute, Snap One was able to run a few parallel sessions, drastically reducing test execution time and enabling faster code deployments, making their development process more agile.

With TestMu AI, Snap One has leveraged parallel testing effectively, running up to 10 web and 10 mobile tests concurrently, reducing overall testing time and accelerating release cycles.

Snap One is also exploring KaneAI (in private beta), KaneAI is an advanced AI-native testing assistant designed to revolutionize software testing processes. By leveraging modern Large Language Models (LLMs), KaneAI enables users to create, debug, and evolve end-to-end tests using natural language inputs, significantly simplifying the testing workflow. By adopting KaneAI, Snap One positions itself at the forefront of testing innovation, aligning with the latest advancements in AI-driven quality assurance.

These integrated solutions allowed Snap One to speed up their testing efforts, improve quality, and scale efficiently across their growing product line.

What’s Next for Snap One

Snap One is actively exploring new tools like Kane AI to enhance testing efficiency, while also showing interest in Accessibility Testing and Smart UI Testing to improve user experience across platforms.

Looking ahead to 2024, Snap One is focused on scaling parallel testing and regression testing to maintain consistent app performance. Regular collaboration with TestMu AI ensures their testing needs are met, supporting continued success and innovation.