What will you do if the website loads slowly?

If the website loads slowly, my actions will depend on the testing stage and available tools.

If I observe a problem early in the testing process or during functional testing:

1. Initial observation: I record problematic pages/actions, load times, and other noticeable symptoms (e.g., slow element rendering, browser console errors).
2. Reproduction: I try to reproduce the problem on different devices, browsers, and internet connections to understand its scope and dependency on conditions.
3. Checking external factors: I ensure the problem is not related to my local environment (e.g., network congestion, VPN, antivirus). I check my internet connection speed.
4. Developer Tools:
   • Open the "Network" tab in the browser (Chrome DevTools, Firefox Developer Edition).
   • Analyze the resource loading timeline (Waterfall chart).
   • Look for slow requests (long TTFB - Time To First Byte, prolonged resource downloads).
   • Check the size of loaded resources (images, scripts, styles).
   • Review console errors and warnings.
   • Use the "Performance" tab for detailed profiling (long script execution, rendering issues).
5. Creating a defect report: I prepare a detailed bug report including:
   • Reproduction steps.
   • Expected result.
   • Actual result (slow loading, specific time).
   • Logs (network logs, console errors).
   • Testing environment (browser, OS, device, connection type).
   • Screenshots/videos demonstrating the problem and network graphs.
   • Data from Developer Tools (e.g., Waterfall screenshot or saving a .HAR file).

If the problem is identified during load testing or performance testing, or requires deeper analysis:

1. Using specialized tools:
   • PageSpeed Insights (Google): Quick performance assessment for mobile and desktop devices, improvement recommendations.
   • GTmetrix: Detailed load speed analysis providing metrics (LCP, TBT, CLS), performance score, and suggestions.
   • WebPageTest: Testing from different locations, simulating various connection speeds, detailed reports.
   • Profilers: Using tools like JProfiler (for Java), Xdebug (for PHP) for server-side performance analysis if available and competent.
   • APM (Application Performance Monitoring) systems: If used in the project (New Relic, Dynatrace, Prometheus + Grafana), analyze server metrics (CPU, RAM, I/O, database response time, query execution time).
2. Collaborating with developers/DevOps: I provide all collected information and analysis results. We discuss potential causes:
   • Non-optimized database queries.
   • Server-side logic or code issues.
   • Large size or number of resources (images, fonts, JavaScript/CSS files).
   • Lack of or incorrect caching configuration.
   • CDN issues.
   • Low server bandwidth.
   • "Blocking resources" (resources blocking page rendering).
3. Verifying fixes: After implementing fixes, I conduct re-testing using the same tools and metrics to ensure the problem is resolved and performance has improved.

My approach involves systematically collecting data, using appropriate diagnostic tools, and effectively communicating with the team to identify and eliminate the root cause of slowness.