Msight is PinnacleQM's codeless mobile test automation platform. Natural-language work instructions drive a scalable virtual workforce across physical and cloud device labs, covering phones and tablets.
30+years of international
IT experience
Mobile users expect apps to work on every phone, tablet and operating system version. Testing each combination manually is impossible, coded mobile automation is brittle and expensive, and the resulting coverage gaps slow releases and reach customers.
Msight uses codeless natural-language work instructions and a scalable virtual workforce to test apps across devices and operating systems, integrating with physical or cloud device labs through UXperform and reporting every result by device and operating system.
Msight brings PinnacleQM's natural-language automation to mobile, so coverage grows without growing the team. It suits native, hybrid and mobile web apps.
Integrated through UXperform.
Natural-language work instructions mean anyone on the team can write and read mobile tests without coding.
Tests run on physical and virtual devices across operating system versions, matching the devices customers use.
Msight integrates with physical or cloud device labs, so investment in existing labs is protected.
Virtual workers run tests across many devices in parallel, so mobile regression finishes much faster.
Response times for mobile transactions are captured, so slow screens are identified by device and network.
Mobile instructions follow the same approach as web and API tests, so teams learn one way of working.
Capabilities for native, hybrid and mobile web testing.
Testers write mobile tests as natural-language work instructions, without coding for each platform or device, so one set of instructions can serve several platforms and maintenance effort falls as apps evolve.
Tests run across common browsers, operating system builds, and virtual and physical devices, with results compared across models and versions, so coverage gaps are visible and can be closed before release.
Msight integrates with physical or cloud device labs through UXperform, so you can keep using labs you already have or add cloud devices as needed, and set-up is quick for new apps.
A virtual workforce executes tests across many devices in parallel, often overnight, so mobile regression results are ready by morning for developers to act on before the next build in the morning.
Response times for mobile transactions are captured during tests, showing performance across devices and networks, and reporting slow screens by device model so teams know exactly where to optimise and when.
Mobile testing can include checks with platform accessibility features, such as screen readers and zoom, with findings mapped to accessibility requirements, so barriers affecting mobile users are fixed before release.
Start with your most important mobile journeys and the devices your customers use most, prove the approach, then expand coverage release by release.
Every device.Select key journeys and the devices your customers use most, guided by analytics.
Integrate Msight with your physical or cloud device lab, reusing existing labs where possible.
Write natural-language instructions for priority journeys using reusable components shared across platforms.
Execute across devices in parallel and review failures reported by device, model and operating system.
Add journeys, devices and pipeline integration, growing mobile coverage steadily with each release.
When a core banking platform was upgraded, Enginuity's machine learning updated the automation in 2 hours and every script ran without test pack changes.
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Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
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HealthTest obfuscated production records, created full test condition variations and tested more than 5 million transactions per day, without exposing any patient information along the way.
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Tell us about your app, platforms and the devices your customers use. We will show how Msight could extend your mobile coverage and shorten your mobile regression cycles.
Mention your app platforms and key devices.
