Merge pull request #1710 from srivishnua-lambdatest/stage

Insights - Add Insights Best Practices documentation and update sidebar navigation

Author: surishubham

docs/analytics-best-practices.md

@@ -0,0 +1,119 @@
+---
+id: insights-best-practices
+title: Insights Best Practices
+description: Best practices for using LambdaTest Insights dashboards, widgets, and insights modules to maximize value and drive data-driven testing decisions.
+keywords:
+  - insights
+  - dashboards
+  - best practices
+  - widgets
+  - test insights
+  - data visualization
+  - reporting
+  - optimization
+slug: insights-best-practices/
+---
+
+# Best Practices for LambdaTest Insights
+
+Unlock the full potential of LambdaTest Insights by following these best practices for dashboards, widgets, and insights modules. These guidelines are distilled from the current knowledge base and are designed to help you optimize your testing process, improve reporting, and drive actionable insights.
+
+## 1. Dashboard and Widget Design
+
+- **Define Clear Objectives:** Before creating dashboards or widgets, identify the key questions you want to answer or the metrics you need to track. Align dashboards with business and QA goals.
+- **Leverage Pre-built Templates:** Use dashboard templates for common use cases (e.g., Test Summary, Error Insights, Resource Consumption) to save time and ensure standardized reporting.
+- **Customize for Stakeholders:** Create separate dashboards for different teams (QA, Dev, Product) with relevant widgets and layouts. Use the layout editor to prioritize and group widgets based on stakeholder needs.
+- **Optimize Layout:** Arrange high-priority widgets at the top, resize widgets for visibility, and group similar widgets together for clarity. Optimize dashboards for mobile if needed.
+
+**Use Case:**
+A QA manager wants to monitor both test execution and resource usage. By creating a dashboard with high-priority widgets (like Test Summary and Concurrency Trends) at the top and grouping related widgets, the manager can quickly assess project health and resource allocation. This setup saves time and ensures that critical information is always visible, enabling faster decision-making.
+
+**How it helps:**
+Well-designed dashboards reduce information overload, highlight key metrics, and make it easier for users to focus on what matters most. Customizing layouts for different stakeholders ensures everyone gets the insights they need in the most effective format.
+
+## 2. Data Visualization and Filtering
+
+- **Choose the Right Visualization:** Select bar, line, pie, table, or billboard widgets based on the data and the story you want to tell. Use trends and distribution charts for time-series and coverage analysis.
+- **Apply Advanced Filters:** Use key, operator, and value filters to focus on relevant data. Filter by product, project, browser, OS, device, or custom fields to drill down into specific insights.
+- **Use Custom Grouping and Labels:** Group data by relevant categories (e.g., test status, device type) and provide clear labels for axes and widgets to aid interpretation.
+
+**Use Case:**
+A team needs to analyze test failures by browser and OS. By applying filters and grouping data, they can visualize failure rates for each environment using a bar chart. This helps them quickly identify problematic platforms and prioritize fixes.
+
+**How it helps:**
+Effective visualization and filtering make complex data understandable, enabling users to spot trends, outliers, and actionable insights. Custom grouping and labels ensure clarity and relevance for all viewers.
+
+## 3. Performance and Resource Optimization
+
+- **Monitor Resource Utilization:** Use concurrency and resource widgets to track usage trends and optimize allocation. Identify bottlenecks and plan for future capacity.
+- **Analyze Test Trends:** Regularly review test execution, pass/fail rates, and error patterns to identify areas for improvement and maintain test suite health.
+- **Leverage Performance Profiling:** For app profiling, monitor CPU, memory, battery, network, and startup metrics. Use optimization strategies such as offloading heavy tasks, optimizing network calls, and managing memory efficiently.
+
+**Use Case:**
+A DevOps engineer notices a spike in resource usage during nightly test runs. By monitoring concurrency widgets and analyzing trends, they identify inefficient test scheduling and adjust the pipeline to balance load, reducing costs and improving test reliability.
+
+**How it helps:**
+Proactive resource and performance monitoring prevents bottlenecks, optimizes infrastructure costs, and ensures smooth, reliable test execution.
+
+## 4. Continuous Improvement and Collaboration
+
+- **Track and Share Insights:** Use dashboards to monitor progress, share insights with stakeholders, and support data-driven decision-making. Export and share reports as needed.
+- **Iterate and Refine:** Continuously review dashboard effectiveness, update widgets, and refine filters as testing needs evolve.
+- **Enable Collaboration:** Use dashboard sharing and permissions to foster collaboration between QA, Dev, and Product teams.
+
+**Use Case:**
+A product team wants regular updates on test coverage and bug trends. The QA lead shares a dashboard with tailored widgets and exports weekly reports. As requirements change, the dashboard is updated to reflect new priorities.
+
+**How it helps:**
+Continuous improvement ensures dashboards remain relevant and actionable. Sharing and collaboration break down silos, keeping all teams aligned and informed.
+
+## 5. Troubleshooting and Error Analysis
+
+- **Utilize Error Insights:** Use error-focused widgets and templates to quickly identify, analyze, and resolve test failures. Track error trends across browsers, OS, and devices.
+- **Monitor Test Health:** Use health snapshot and status ratio widgets to assess test reliability and flakiness. Prioritize fixing frequently failing or flaky tests.
+
+**Use Case:**
+A QA engineer sees a sudden increase in test failures. By using error insights and health snapshot widgets, they quickly pinpoint a new browser version as the cause and coordinate a fix.
+
+**How it helps:**
+Rapid error identification and analysis reduce downtime, improve test reliability, and speed up the feedback loop for development teams.
+
+## 6. Custom Widgets and Advanced Use Cases
+
+- **Personalize Visualizations:** Create custom widgets for unique metrics or KPIs not covered by standard widgets. Use custom data sources and axes for tailored insights.
+- **Compare Data Sources:** Switch between sources (e.g., Tests, Auto Heal) to analyze different aspects of your testing process.
+- **Automate and Integrate:** Where possible, integrate analytics with CI/CD and automate report generation for continuous feedback.
+
+**Use Case:**
+A team wants to track the impact of the Auto Heal feature on test stability. By creating a custom widget that compares healed vs. non-healed test outcomes, they can measure effectiveness and justify further investment.
+
+**How it helps:**
+Custom widgets and integrations provide flexibility for unique business needs, enabling deeper analysis and automation for continuous improvement.
+
+## 7. Performance Monitoring (App Profiling)
+
+- **CPU & Memory:** Watch for high or increasing usage; optimize algorithms and resource management.
+- **Battery & Network:** Minimize battery drain and network usage by batching operations and compressing data.
+- **Startup Time:** Optimize cold and hot startup times by deferring non-critical operations and managing state efficiently.
+- **Temperature:** Monitor device temperature and adapt performance strategies to avoid throttling.
+
+**Use Case:**
+A mobile app team uses profiling widgets to monitor memory and battery usage during feature development. They spot a memory leak early and optimize network calls, resulting in better app performance and user reviews.
+
+**How it helps:**
+Performance monitoring ensures high-quality, efficient applications, reduces user complaints, and supports proactive optimization.
+
+## 8. General Recommendations
+
+- **Stay Updated:** Regularly check for new widgets, features, and best practices in the LambdaTest documentation.
+- **Seek Support:** Contact LambdaTest support for help with advanced configurations or troubleshooting.
+
+**Use Case:**
+A QA lead stays informed about new analytics features and best practices, quickly adopting improvements that streamline reporting and boost team productivity.
+
+**How it helps:**
+Staying current and seeking support ensures you always get the most value from LambdaTest Analytics and can resolve issues efficiently.
+
+---
+
+By following these best practices, you can maximize the value of LambdaTest Analytics, drive continuous improvement, and deliver high-quality, data-driven testing outcomes.

sidebars.js

@@ -3290,6 +3290,7 @@ module.exports = {
         "analytics-sub-organization-widgets",
       ],
     },
+    "insights-best-practices",
     "analytics-faqs",
   ],