December 2025 Product Updates: Smarter Analytics & Better Navigation

We know that scaling QA requires visibility into your testing metrics. That's why we've integrated comprehensive analytics tracking that gives you deeper insights into test performance, execution patterns, and quality trends over time.

This new analytics infrastructure connects seamlessly with your existing testing pyramid, capturing metrics that matter for DORA metrics alignment and developer velocity. Whether you're tracking flaky tests, monitoring test execution times, or measuring end-to-end testing coverage, you'll now have the data you need to make informed decisions about your QA strategy.

What this means for you: Better visibility into your testing health means you can identify bottlenecks faster, reduce test maintenance overhead, and prove the ROI of quality investments to stakeholders. Technical debt QA just got a lot more measurable.

Your browser's back button should just work—no exceptions. We've completely overhauled our frontend state management to make navigation feel natural across the entire platform. Modals now respect browser history, filter states persist when you navigate back and forth, and URL parameters keep your context intact.

This improvement touches every major page in the platform: test runs, test cases, issues, personas, and test details. We've added intelligent URL state management hooks that sync your UI state with the browser, so you can work confidently knowing that hitting "back" won't lose your filters or close that modal unexpectedly.

Why this matters: When you're investigating production bugs or reviewing test results, you need to move quickly between views. Reliable navigation means less frustration and more time spent actually solving problems. It's a small change that makes a big difference in your daily workflow.

We've addressed several critical issues in our backend analytics pipeline and configuration management. These fixes improve reliability for teams running continuous deployment workflows and ensure that analytics data flows smoothly even under heavy load.

• Analytics timeseries optimization: Streamlined data processing for faster dashboard loading and more responsive metrics visualization
• Configuration stability: Fixed edge cases in our analytics integration that could cause intermittent tracking issues
• Database migrations: Added proper schema management for new metrics tables, ensuring smooth upgrades for all customers

These improvements reflect our commitment to delivering quality at speed. Self-healing tests and AI test automation are only valuable if the platform itself is rock-solid.

We're continuing to focus on what matters most: helping you stop trading quality for speed. Coming up, we're working on enhanced AI in testing capabilities, deeper synthetic monitoring integrations, and more ways to shift-left testing without slowing down your team.

As always, your feedback drives our roadmap. If you're using desplega.ai to improve your developer confidence and reduce production testing headaches, we'd love to hear what's working and what could be better.