Struggling with flakiness & test failures?
Want to improve automation stability?
Save up to 95% of your time on test result analysis and boost your confidence in test automation with improved stability using Test Observability!
Trusted by more than 50,000 customers globally
In our users' words…
Reduces test failure triage time by 75%
Test Observability has significantly reduced our test failure triage time by around 75%, allowing QA teams to focus only on new and relevant test failures.
QA Architect, Florence Healthcare
Provides great value, use it everyday
Best in class; easy to use. We now have great insights into how many tests we run, how often we run them and how they perform. We can also measure test effectiveness, stability and flakiness.
Source: G2
Source: G2
Principal Test Engineer, Clari
Faster and accurate test results
BrowserStack Test Observability gives my team their test results quickly, and accurately displays data simply and [makes it] easy to read. The playback videos are helpful when debugging.
Source: G2
Source: G2
Lead Automation QA Engineer
Reduces analysis time significantly
Test Observability reduces the analysis time significantly and also has the AI/ML built in to support flakiness and mute test cases.
Source: G2
Source: G2
QE Manager
Reliable data for test analysis
The most helpful feature of BrowserStack is the Test Observality tool. We rely on the data and results shared through this tool every morning during our test analysis.
Source: G2
Source: G2
Everyday problems faced by test automation teams
A fragmented testing stack makes it even more complex to track automation health
That’s why we built Test Observability
Test Observability unifies data from the entire tool stack to help drive root cause analysis at a blazing speed and derive actionable insights rooted in historical context.
How Test Observability can help you
Cut time to analyze test failures by up to 95%
Real-time test reporting
Analyze a test as soon as its execution is complete, no need to wait for job completion.
Smart tagging
Failures auto-tagged as new failures or always failing to triage faster.
Unique errors
Tests grouped by failure causes to quickly assess impact & prioritize.
AI-driven failure bucketing
Auto-failure-reason categorization into product, environment or automation bugs.
Timeline debugging
Chronologically aggregated test run logs for context-switch-free debugging.
Proactively ensure automation stability
Flaky detection
Default & custom rules to auto-detect flaky tests. No guesswork.
Track automation stability
Ready-to-use charts and custom Slack/email alerts on metrics like stability, flakiness, etc.
Mute tests
Exclude known-flaky tests from showing up in reports until fixed.Enable automation progress visibility across stakeholders
Custom dashboards
View test failures from every angle - ordered by failure rate, grouped by unique errors, segmented by failure reason or failure type.
Testing trend charts
End-to-end visibility into growth of automation metrics such as unique test cases, flakiness, new failures, etc.
Role-based access control
Control access across users with granular roles & permissions.
Are you willing to pay the cost of not using Test Observability?
Dev bandwidth wastage
Inefficient use of developer bandwidth due to testing bottlenecks.
Increasing flaky tests
Excessive number of flaky tests causing testing instability.
Inefficient QA automation tracking
Lack of visibility into QA automation health metrics.
No quality benchmarks
Unable to set quality benchmarks and alerts to improve automation health.
Misleading test failures
Failing tests that fail to reflect the true state of the application accurately.
Lack of historical data
No historical data available for analyzing past issues.
Try everything on Sandbox
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