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Quell

AI-powered UAT automation for faster, compliant releases

UAT automationAI testingCompliance testingTest case generationQA automationProduct validationRelease managementSoftware Testing ToolsAI Development ToolsDevOps SolutionsQuality AssuranceProduct Management
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Collected: 2025/9/20

What is Quell? Complete 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 Interface & Screenshots

Quell Quell Interface & Screenshots

Quell Official screenshot of the tool interface

What Can Quell Do? Key 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.

Best Quell Use Cases & Applications

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: Step-by-Step Guide

1

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.

2

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.

3

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.

4

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.

5

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.

6

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.

Quell Pros and Cons: Honest Review

Pros

Reduces UAT cycles by up to 80% through comprehensive automation
Identifies multifaceted issues (legal, UX, conversion etc.) that traditional QA misses
Seamless integration with existing tools requires no workflow changes
Visual documentation (screenshots, videos) accelerates debugging
Specialized AI agents provide domain-specific testing perspectives
Maintains compliance-ready audit trails automatically
Simple setup with no scripting required

Considerations

Limited customization options for advanced testing scenarios
Monthly task limits on lower-tier plans may constrain heavy users
New platform with fewer third-party integrations than established competitors
Requires clear acceptance criteria in connected tools for optimal results

Is Quell Worth It? FAQ & Reviews

Quell is an AI-powered UAT automation platform that builds and tasks specialized testing agents. It automates user acceptance testing by generating and executing test cases based on your acceptance criteria, identifying comprehensive issues across multiple perspectives before release.

Unlike traditional QA tools that focus only on functional testing, Quell evaluates products from multiple viewpoints (design, compliance, marketing etc.) simultaneously. It requires no scripting, integrates directly with your existing workflow, and provides visual documentation of all issues with minimal setup time.

Quell integrates with popular development and collaboration tools including GitHub, Jira, Linear, Figma, Slack, Vercel, Netlify, and Google Drive. The platform reads acceptance criteria directly from these tools and can create tickets in connected issue trackers.

Most teams can connect Quell to their existing tools and start testing within 15 minutes. The platform uses OAuth for integrations and requires no coding or workflow changes - just connect your accounts and define what you want to test.

Yes, Quell offers a free trial that lets you experience how the platform can transform your UAT workflow. The trial includes full access to core features with a limited number of test cases so you can evaluate the value for your team.

Quell is pursuing SOC 2 Type 2 certification to ensure enterprise-grade security. The platform provides detailed audit trails of all testing activities and maintains strict access controls. For highly regulated industries, the Enterprise plan offers additional compliance features and reporting.

How Much Does Quell Cost? Pricing & Plans

Starter

$19/mo billed annually
3rd party integrations
120 tasks/month
Test case generation & execution
Basic support

Growth

$39/mo billed annually
Everything in Starter
Team collaboration features
300 tasks/month
Automated test triggers
Priority support

Enterprise

Custom
Everything in Growth
Unlimited tasks
Onboarding services
Dedicated support
SOC 2 compliance reports
Custom integrations
Last Updated: 9/20/2025
Data Overview

Monthly Visits (Last 3 Months)

2025-07
-
2025-08
5536
2025-09
1961

Growth Analysis

Growth Volume
-3.6K
Growth Rate
-64.57%
User Behavior Data
Monthly Visits
1961
Bounce Rate
0.4%
Visit Depth
1.5
Stay Time
1m
Domain Information
Domainquellit.ai
Created Time1/20/2025
Domain Age288 days
Traffic Source Distribution
Search
33.4%
Direct
41.8%
Referrals
12.7%
Social
9.7%
Paid
1.4%
Geographic Distribution (Top 5)
#1US
100.0%
#2-
-
#3-
-
#4-
-
#5-
-
Top Search Keywords (Top 5)
1
quell ai
230
2
quell
25.8K
3
uat in corresponding sprint
280
#4 - No Traffic Data Available
#5 - No Traffic Data Available