Quell
AI-powered UAT automation for faster, compliant releases
Quell Overview
Quell is an intelligent User Acceptance Testing (UAT) platform powered by AI, designed to automate and streamline the UAT process for product teams. It addresses critical pain points in software development by reducing UAT cycles by up to 80%, identifying comprehensive issues across multiple perspectives (design, compliance, marketing, etc.), and ensuring releases meet acceptance criteria. Quell integrates seamlessly with popular development tools like GitHub, Jira, Linear, Figma, and Slack, requiring no changes to existing workflows. The platform is trusted by innovation-driven teams across industries, including major airlines, healthcare providers, and fintech companies, helping them ship products with confidence while maintaining compliance.
Quell Screenshot
Quell Official screenshot of the tool interface
Quell Core Features
Test Case Auto-Generation
Quell automatically generates detailed test cases from your acceptance criteria, saving significant time in test preparation. The AI analyzes requirements from various sources (Figma designs, Jira tickets, etc.) and creates comprehensive test scenarios, including edge cases that might be missed manually. This feature ensures all requirements are validated while maintaining documentation for compliance purposes.
Automated Test Triggers
The platform automatically executes tests based on status changes in connected tools like Jira or Linear. When an issue moves to 'Ready for Testing' or similar statuses, Quell initiates relevant tests without manual intervention. This tight integration with development workflows eliminates bottlenecks and maintains testing velocity throughout the release cycle.
Multi-Perspective Testing
Quell employs specialized AI agents that evaluate products from different functional perspectives - product design, compliance, marketing, operations, and QA. Each agent identifies issues specific to their domain (legal non-conformities, UI problems, conversion barriers, etc.), providing a 360° view of potential problems before release.
Visual Documentation
Every test includes automatic screenshots and short video recordings that clearly demonstrate issues. This visual evidence eliminates back-and-forth communication between teams, speeds up debugging, and creates audit-ready documentation for compliance requirements.
Seamless Tool Integration
Quell works with the tools teams already use including GitHub, Jira, Linear, Figma, Vercel, Netlify, Slack, and Google Drive. The AI reads acceptance criteria directly from these platforms, writes tests, and can create tickets in connected issue trackers - all without requiring scripting or workflow changes.
Compliance Assurance
The platform ensures every release meets regulatory requirements by validating all specifications and maintaining detailed audit trails. Quell is pursuing SOC 2 Type 2 certification, providing enterprise-grade security for sensitive testing processes and documentation.
Quell Use Cases
Fintech Compliance Release
A financial technology company uses Quell to ensure new features meet strict regulatory requirements before production. The compliance AI agent identifies legal non-conformities in UI text, while the product agent verifies all acceptance criteria from Jira tickets. Automated tests run against staging environments, with results documented for audit purposes, cutting compliance review time by 75%.
E-commerce Feature Launch
An online retailer employs Quell to test a new checkout flow. The platform generates 200+ test cases from Figma designs and Linear tickets, executing them across devices and browsers. Marketing and UX agents identify conversion barriers and usability issues that traditional QA missed, resulting in a 30% higher checkout completion rate post-launch.
Healthcare Portal Update
A healthcare provider leverages Quell's automated testing for HIPAA-compliant patient portal updates. Tests trigger automatically when developers push code to GitHub, with results shared via Slack. The compliance agent verifies all privacy requirements while the operations agent checks performance thresholds, reducing production incidents by 90%.
How to Use Quell
Connect Quell to your existing tools (GitHub, Jira, Figma etc.) through simple integrations. The platform supports OAuth-based connections that take just minutes to set up without requiring IT support.
Define your acceptance criteria in your preferred format - whether in design files (Figma), issue trackers (Jira/Linear), or documents. Quell's AI will automatically detect and interpret these requirements.
Let Quell generate comprehensive test cases based on your acceptance criteria. The AI creates detailed test scenarios covering all requirements and edge cases, which you can review and modify if needed.
Execute tests automatically (triggered by status changes in connected tools) or manually. Quell tests your application across multiple perspectives simultaneously, simulating different team member viewpoints.
Review detailed test reports with visual evidence (screenshots, videos) and categorized issues. The platform highlights problems by severity and functional area, with direct links to create tickets in your connected issue tracker.
Monitor fixes and regression testing through Quell's dashboard. The platform tracks resolution progress and can automatically verify fixes when developers mark tickets as resolved.