Metrics evaluator: Assess key quality metrics and statistics

Discover how metrics evaluator helps engineering teams collect and analyze failure data, improving quality assurance and minimizing issues.

A data analyst reviewing quality metrics on a computer in an engineering workspace.

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Assess key quality metrics with precision

Uncover valuable insights into failure analysis for robust engineering solutions

A data analyst explores failure causes in a busy engineering workspace.

Streamlined input of failure details

Easily enter comprehensive failure descriptions, including occurrence dates, component names, and severity levels. This intuitive approach ensures that Quality Engineers can quickly capture all relevant data, enabling efficient tracking and assessment of failures in the Engineering department.

Engineers discussing automated test validation in a collaborative workspace.

Comprehensive test case integration

Link every failure to a specific test case ID for enhanced traceability. This feature allows Data Analysts and Quality Assurance Specialists to correlate failures with testing scenarios effectively, revealing patterns that lead to informed decisions and improved engineering outcomes.

A maintenance technician documents test results on a workflow sheet during a repair process in a facility.

Detailed reproduction steps documentation

Capture every critical detail regarding steps to reproduce failures accurately. By documenting expected and actual outcomes along with error codes or messages, Test Engineers can facilitate thorough investigations, resulting in more effective troubleshooting strategies and faster resolution times.

Engineers collaborating on issue tracker synthesis for compliance testing.

Flexible additional notes section

Utilize the additional notes or observations field for valuable insights not covered elsewhere. This feature empowers Reliability Engineers to add context or highlight unique circumstances surrounding each failure, enhancing the overall understanding of issues encountered during testing processes.

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Additional information

Best for: Data Collection Engineer, Quality Assurance Data Analyst, Failure Analysis Technician, Quality Control Data Specialist, Data Collection Specialist

Published:
byModernIQs