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Test Metrics
What are key Test Metrics?
Test case pass/fail rate, Defect density (Defects / Size of Software), Test coverage, Escaped defects, Flaky Test Rate, and Automation execution time.
How to decide Priority of Test Cases?
Consider Business impact, Critical functionalities, Risk assessment, Regulatory compliance, Customer impact, Regression testing needs, and Historical defect data.
How would you determine whether a frontend application is healthy?
A healthy frontend application is assessed primarily through tracking, metrics, and KPIs. Key indicators include: error rate monitoring (the application should produce no or minimal errors), behavioral and UI consistency, good user experience (UX), performance factors such as lazy loading and low latency, semantic HTML structure for accessibility and SEO, and the ability to serve a broad user base. Dashboards and observability tools that aggregate these metrics are the standard way to evaluate frontend health in practice.
When asked to explain quantifiable technical metrics from your projects to a client or stakeholder (e.g., performance optimizations or latency improvements), how would you approach it and what would you highlight?
There are two complementary approaches depending on the seniority level you want to project. From a technical standpoint, reference observability tools such as Grafana with Prometheus (which can be spun up quickly with Docker) and Datadog for detecting and tracking anomalous events. Express improvements as concrete percentages—for example, latency reduced by X% or throughput increased by Y%. From a more senior, business-oriented perspective, lead with the business outcomes those improvements enabled rather than the raw technical detail. This shows strategic thinking. In either case, be fully prepared to explain how each metric was collected and measured technically, since a follow-up question on methodology is common.