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Test Reporting That Tells You Why Tests Failed, Not Just That They Failed

AI Root Cause Analysis. Complete traceability. Real-time dashboards. Know what broke, why it broke, and how to fix it in seconds, not hours.

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The Reporting Problem Slowing Every Release

Tests fail. You get an alert. Then the investigation begins.

Traditional reporting reality:

Raw log dumps with no context

Manual investigation to find root cause

Screenshots that don't explain failures

Spreadsheet traceability that's outdated by sprint end

Teams asking "did we test this?" with no clear answer

Insurance Cloud Transformation: 75% reduction in defect triangle time with AI Root Cause Analysis.

AI Root Cause Analysis: Know Why In Seconds

Every test failure includes instant diagnostic evidence.
What you see immediately:

Screenshots showing exact UI state at failure

DOM snapshots capturing complete page structure

Network logs revealing API responses and timing

Performance metrics identifying timeouts and bottlenecks

Console events exposing JavaScript errors

AI-generated remediation suggestions for common failure patternss

No manual investigation. No guessing. 75% faster root cause identification.

Complete Requirement Traceability

Link tests to requirements, user stories, and business goals automatically.

Know instantly:

Which requirements have test coverage

Which tests validate each user story

What's untested in the current release

Coverage gaps before deployment

Global Insurance Provider: Full requirement-to-test traceability across 6,000 automated journeys.

Real-Time Dashboards For Every Stakeholder

QA Teams

Pass rates, execution history, journey performance, stability trends

Development

Failed step details, network activity, console errors, performance data

Leadership

Coverage metrics, release readiness, quality trends, compliance visibility

Step-Level Visibility For Every Journey

See exactly what happened at each test step:

Network requests triggered

Console activity captured

API calls executed

Self-healing actions performed

Element identification changes

Understand the complete test behavior, not just pass/fail status.

Comprehensive Report Export

Execute hundreds of tests simultaneously. Cloud-native architecture scales instantly.

PDF Reports:

Executive summaries with pass/fail metrics, trend analysis, coverage data

Export formats that work with existing workflows and compliance requirements.

Excel/CSV Reports:

Detailed execution data for analysis, step-by-step evidence, requirement mapping

Export formats that work with existing workflows and compliance requirements.

Integrated Collaboration

External tool integration:

Jira ticket creation from failures

TestRail test case synchronization

Xray requirement traceability

GitHub issue linking

Azure DevOps work item integration

Built-in team communication:

Tag team members directly in test failures

Comment on specific steps or journeys

Slack notifications for test results

Email alerts for regression failures

Teams collaborate where failures occur, not in separate tools.

The Architecture Difference

Proven Impact For Enterprise QA

Global Insurance Cloud Transformation:

75% reduction in defect triangle time

AI Root Cause Analysis with automated evidence

Complete requirement coverage tracking

Global EPRS Deployment:

6,000 automated journeys with full traceability

400 QA contributors accessing unified dashboards

475 person-days → 4.5 person-days per release

Insurance Broker & Reinsurance:

100,000 test executions annually via CI/CD

Real-time reporting to 70 users

Instant quality visibility across teams

See Every Result With Total Clarity

Stop investigating failures. Start fixing them.

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Trusted by 100+ Leading Organizations

Customer Voices

What our cusotmers say.

API, Cross-Browser & End-to-End Testing

4x faster onboarding

80%

test coverage in week 1

50%

QA services cost saved

"API calls and Cross browser testing and NLP make it stand out from other automation tools."

Suchitra S
Senior Quality Analyst

"Very useful tool for API testing , Functional and Cross browser Testing."

Verified User
‍in Banking

"Execution Planner & API Integration & We can run single test case in multiple environments."

Rohan S
‍Using Virtuoso QA

"Virtuoso is highly capable to run APIs, combining APIs in your test journeys along with javascript and execute dynamic scripts for your happy and unhappy paths of the project."

Verified User
‍Retail

Frequent Asked Questions

What makes Virtuoso QA's reporting different from traditional tools?

AI Root Cause Analysis provides instant diagnostic evidence: screenshots, DOM snapshots, network logs, performance metrics, console events, and actionable remediation suggestions. Traditional tools provide raw log dumps requiring manual investigation. Virtuoso QA tells you what broke, why it broke, and how to fix it in seconds, achieving 75% faster root cause identification (Insurance Cloud Transformation proof).

How does requirement traceability work?

Virtuoso QA links tests directly to requirements and user stories, providing instant visibility into coverage. Know which requirements have tests, which tests validate each story, and what's untested before deployment. The Global EPRS deployment maintains complete traceability across 6,000 automated journeys.

Can we export reports for compliance or executive review?

Yes. Generate PDF reports for executive summaries with quality trends and coverage metrics. Export Excel/CSV for detailed analysis with step-by-step execution evidence and requirement mapping. Reports support audit trails and compliance documentation requirements.

What dashboards are available?

Real-time dashboards showing pass rates, execution history, journey performance, stability trends, coverage metrics, and release readiness. Different views for QA teams (execution details), development (technical diagnostics), and leadership (quality trends). No manual dashboard configuration required.

How does AI Root Cause Analysis work?

When tests fail, AI analyzes test steps, network events, failure reasons, error codes, and historical patterns to provide automated root cause diagnosis. Every failure includes screenshots, DOM snapshots, network logs, performance metrics, and AI-generated remediation suggestions. This achieves 75% faster defect identification compared to manual log investigation.

Can we integrate with our existing tools?

Yes. Native integrations with Jira (ticket creation from failures), TestRail (test case sync), Xray (requirement traceability), GitHub (issue linking), Azure DevOps (work item integration), Jenkins, GitLab, and CircleCI. Teams collaborate in existing workflows without switching platforms.

How do teams collaborate on test failures?

Tag team members directly in failures, comment on specific steps or journeys, receive Slack notifications for results, get email alerts for regression failures. Collaboration happens where failures occur, integrated with external tools like Jira and GitHub for ticket creation.

What's included in step-level visibility?

Every test step shows network requests triggered, console activity captured, API calls executed, self-healing actions performed, and element identification changes. This provides complete context for understanding test behavior and diagnosing failures beyond simple pass/fail status.

How quickly can teams access reporting after execution?

Real-time. Dashboards update during execution, AI Root Cause Analysis generates instantly on failure, and reports are available immediately after test completion. No delayed report generation or manual compilation required.