UXperform is PinnacleQM's platform for end-user performance engineering. It verifies, tracks, monitors and reports user performance across systems and devices using AI and a virtual workforce.
30+years of international
IT experience
Infrastructure dashboards can show healthy servers while users wait for slow pages, frozen apps and timeouts. Organising user testing at scale is hard, so real experience problems surface in complaints, often before technology teams notice anything is wrong.
UXperform uses PinnacleQM's AI platform and virtual workforce to act as users, measuring response times across systems and devices and tracking them over time, so performance regressions are caught and fixed before real users notice.
UXperform makes end-user performance a measured quality characteristic rather than an anecdote, so product owners see exactly where users wait.
Across systems, browsers and devices.
Response times are measured as users experience them, so problems users feel are captured directly.
Virtual users run journeys at scale, so coverage grows without recruiting, scheduling or organising human testers.
Timings are compared across browsers, devices and locations, so slow devices and regions are identified quickly.
Each release is compared with the last, so performance regressions are visible release by release.
UXperform connects Msight to physical and cloud device labs, so mobile timings are included too.
Reports show which journeys are slow and where, so product owners know exactly where to act.
Capabilities for verifying and monitoring end-user performance.
UXperform verifies end-user response times for key journeys during testing against targets agreed with product owners, and flags releases that miss them before go-live, so slow journeys never surprise customers.
Timings are tracked across releases, so a performance regression is detected as soon as it appears and the change responsible can be identified and fixed quickly, often in the same sprint.
Virtual users run journeys on schedules, monitoring experience in test and pre-production environments, so problems surface before real users are affected and environments can be compared side by side at any time.
Performance is compared across devices, browsers and operating systems, including through device labs with Msight, so device-specific slowdowns are identified, prioritised and fixed for the customers who use those devices.
Reports show slow journeys, affected devices and trends in terms product owners and leaders recognise, so priorities for improvement are clear and progress is easy to follow over time and release.
User timings can be combined with server, network and latency monitoring to locate causes, so teams know which component to tune first and can verify every fix with new measurements.
UXperform starts with a baseline of key journeys and devices, then builds into continuous tracking of end-user performance with every release.
Fast for users.Choose key user journeys, devices and performance targets, agreed with product owners.
Measure current end-user response times across devices to set the reference baseline.
Add journeys to regression, so timings run with every release, and connect monitoring.
Report trends to product owners and alert on performance regressions with every release.
Support tuning and re-measure after fixes, so improvements are confirmed with data.
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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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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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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7 min read
Why load tests show where systems fail but not why, and how to add diagnostics that explain the result.
7 min read
How differences between test and production environments distort performance results, and how to correct for them.
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The evidence, residual risks and conditions a credible go-live recommendation must include for decision-makers to rely on it.
Tell us about your key user journeys and devices. We will show how UXperform could measure and track the experience your users really have, release after release.
Mention your key journeys, platforms and performance concerns.
