Modern tech teams face intense pressure to release fast without compromising quality. User Acceptance Testing (UAT) often becomes a bottleneck, riddled with manual steps, missed edge cases, and late-discovered bugs. Quell is an AI-powered UAT solution designed to eliminate these pain points. In this post, we highlight ten unique Quell features and how each one solves a common challenge for teams like yours. Professional yet energetic, these features all focus on delivering product value – helping your team ship faster with confidence. Let’s dive in!

1. Tagging Tickets to Trigger & Group Tests

Tired of chasing down what to test after a ticket update? Quell integrates with your issue trackers (like Linear or Jira) so that simply updating or tagging a ticket can automatically trigger the right UAT tests. Mark a ticket as “Ready for QA” (or tag it by feature), and Quell’s UAT team springs into action, running all relevant scenarios. This intelligent trigger system ensures no feature goes untested when its status changes. It also lets you group tests by tags or themes, so you can target specific areas of your app on demand. The result: seamless coordination between development and testing – spend time innovating, not manually kicking off tests.

2. Automatic Bug Ticket Generation & Filing

Imagine catching a bug at 2 AM and having the report already written when you wake up. That’s what Quell delivers. When Quell’s AI UAT agents detect a failing scenario or bug, they automatically generate a detailed ticket in your tracking tool. No more “find a bug, then spend time writing up the reproduce steps.” Quell files the issue complete with steps to reproduce, console logs, and even relevant screenshots or video clips. This means your team wakes up to actionable bug reports without the busywork. By turning proactive bug detection into immediate tickets, Quell ensures critical issues never fall through the cracks – and your team can focus on fixing, not filing.

3. "Take Over" Test Sessions for Secure Log-in

Some test scenarios require a human touch – like logging into an admin account, approving an OAuth prompt, or entering a one-time PIN. Quell anticipates these cases with a “take-over test session” feature that blends automation with manual steps. Whenever a Quell agent hits a step that needs special access or credentials, you (or an authorized teammate) can securely step in to perform the action, then hand control back. Quell supports secure self-authorization for sign-ins, so sensitive login information is handled safely. This means even flows behind SSO, 2FA, or admin privileges can be tested end-to-end. By enabling testers to seamlessly take over an automated session when needed, Quell removes a common roadblock in UAT – no more skipped tests due to login or permission issues.

4. Auto-Testing Vercel and Netlify Preview Deployments

Continuous deployment is great – until something breaks on a preview build that no one manually tested. Quell solves this by automatically testing your Vercel and Netlify builds whenever ticket statuses change. For example, move a user story to “QA” in Jira or Linear, and Quell will spin up its AI agents to test the latest deployment of that feature branch or environment. They validate that each acceptance criterion from the ticket is met on the actual deployed URL. By hooking into your CI/CD workflow, Quell acts like a safety net for every code push. The moment a build is ready, Quell verifies it against requirements, catching issues before you merge to production. This feature ensures that no deploy goes untested, giving modern sprint teams confidence in every release.

5. Multi-Functional Team Team Coverage

UAT isn’t just a QA responsibility – it spans Product, Design, Compliance / Legal, Marketing, Ops, and more. Quell was built with this reality in mind. It provides a roster of specialized UAT AI agents (or “team members”) representing different functions, from Compliance QA to UX Design to Dev Ops. Each agent type focuses on the concerns of that role – for instance, the UX Design agent might complete a UX review verifying styling and user flows match the Figma designs, while the Compliance agent checks that regulatory requirements are met. This multi-functional coverage means your UAT scenarios include perspectives of all stakeholders, not just developers or testers. Quell ensures nothing gets overlooked: legal terms are in place, the UI is pixel-perfect, marketing content is correct, and so on. By bringing the whole team into UAT (virtually), Quell helps sprint teams avoid late surprises and truly meet every acceptance criterion.

6. Screenshots & Video Documentation

No more hearsay in bug reports – Quell provides the proof. Whenever a test runs or a bug is found, Quell’s agents capture screenshots and even video recordings of the session. Every step of the test can be documented automatically. If a bug occurs, you’ll see exactly what the AI agent saw – whether it’s an error message on screen or a button that didn’t respond. These visual logs are attached to the generated tickets, giving developers immediate insight into what went wrong. This feature saves countless hours that would otherwise be spent trying to reproduce issues or gather evidence. For modern teams, that means faster debugging and less back-and-forth. Quell turns bug hunting into an efficient, transparent process with built-in visual documentation for every issue.

7. Always-On Agents for 24/7 Coverage

Your software doesn’t sleep, and neither do Quell’s agents. Think of Quell as a tireless UAT team living in your deployment pipeline, ready to test at any hour. Its AI-powered agents run 24/7, covering critical paths and edge cases continuously – even during off-hours or between sprints. This always-on approach catches those intermittent or time-sensitive bugs that traditional testing might miss. Teams using Quell have cut their manual UAT effort by up to 80%, with far fewer “late-night emergency fixes” needed. Instead of waiting for the next workday or a dedicated QA window, Quell finds issues in the background and alerts you immediately. The benefit is peace of mind: you can merge code on Friday afternoon without fear, knowing Quell’s got an eye on it all weekend. In short, Quell never takes a day off – so you can.

8. Test Case Generation from Tickets & Designs

Writing test cases can be a slog when you’re trying to move fast. Quell’s solution? Let AI handle it. Quell automatically generates test scenarios from your existing inputs – be it the acceptance criteria in a Linear or Jira ticket, the user flows in a Figma design, or even patterns learned from past bugs. As soon as you add criteria or user story details, Quell’s AI turns them into executable tests. It ensures every user story is validated by creating test cases that cover the happy path and edge cases, so nothing is left untested. By offloading test-case writing to an intelligent agent, modern sprint teams save tons of time and avoid human oversight errors. You get the best of both worlds: thorough test coverage generated at machine speed, but based on the real requirements your team has defined. This means faster sprint cycles without sacrificing quality, as Quell’s AI makes sure every requirement has a matching test.

9. Deep Integration with Your Favorite Tools

New tools can be disruptive – but Quell was designed to slot right into your current workflow. It boasts deep integrations with the tools your team already uses, including design platforms, issue trackers, code repos, and CI/CD services. From Figma to Linear, Jira to GitHub, Slack to Vercel (and many more), Quell connects seamlessly. For you, this means no jumping between dashboards or copying data around. Quell can pull test criteria straight from your design specs or tickets, report results back as comments or Slack notifications, and even file issues in your project board automatically. By living in your toolchain, Quell reduces friction and ensures everyone – designers, developers, product managers, QA – stays in the loop. The integration is so tight that adopting Quell feels less like adding a new tool and more like supercharging your existing ones.

10. Built for Real-World UAT Complexity

Many testing tools falter when faced with the messy reality of real-world projects – multiple teams collaborating, different environments (dev, staging, prod) to validate, various user roles and permission levels to consider. Quell was built to embrace this complexity, not shy away from it. In fact, Quell’s creators were product builders in highly regulated industries, painfully familiar with late-stage bugs and unmet compliance criteria slipping through manual tests. That experience shaped Quell into a solution robust enough for the most complex UAT scenarios. Need to test an app across several environments? Quell can do that in parallel. Have to verify features for different user types (admin vs. normal user)? Quell’s agents can simulate each role. And because it involves stakeholders from compliance to design (through its multi-functional agents), it covers all facets of acceptance. In short, Quell thrives in complex, real-world conditions, ensuring that even the trickiest, cross-team, cross-environment issues are caught before release. It turns UAT from a bottleneck into a competitive advantage.

Ready to transform your UAT process? Quell is here to tackle your biggest testing challenges head-on. It’s available to try for free – you can head to the Quell website and spin up your first AI UAT agent in minutes. Don’t let testing hold back your sprint velocity. Embrace the future of UAT with Quell and watch your team ship with greater speed, confidence, and peace of mind. Get started today for a free trial or schedule a demo and turn UAT into one of your team’s superpowers!