Como você usa consultas e gráficos do ADS para acompanhar e visualizar o progresso e a qualidade da lista de pendências do produto?

I use ADS queries to filter and organize our backlog based on priority and status, making it easy to track task progress. For example, I created a query to visualize sprint completion using bar charts, which helped identify areas where we were lagging. The charts also highlighted bug trends, allowing us to focus on improving quality in real time.

1️⃣ Define Queries: Create tailored queries to filter backlog items by type, state, priority, or tags (e.g., "Active User Stories" or "Blocked Bugs"). 2️⃣ Visualize with Charts: Use pie, bar, or trend charts to track item distribution, completion progress, or quality metrics. Pin key charts to dashboards for team visibility. 3️⃣ Focus on Quality: Track high-priority bugs, blocked items, or overdue tasks with specific queries and visualize trends for continuous improvement. 4️⃣ Advanced Insights: Leverage Analytics Views with Power BI for deeper reporting and long-term trends. 📊 These tools enable teams to stay informed, prioritize effectively, and deliver quality work on time.

ADS (Azure DevOps Services) queries and charts are tools used to track and visualize work items within Azure DevOps. ADS Queries: -Purpose to filter and retrieve specific work items -Types flat-list queries, tree queries, and direct links queries. -Usage: You can create queries to find work items assigned to a specific user. ADS Charts: -Charts provide a visual representation of the data retrieved by queries. -Common chart types include pie charts, bar charts, column charts, and trend charts. -You can customize charts to group work items by different fields, such as state, assigned to, or other custom fields. These tools are essential for maintaining visibility and control over your projects in Azure DevOps. #AzureDevOps ♾️

To track and visualize your product backlog in Azure DevOps, create detailed queries to filter work items by criteria like state and priority. Use tree queries to show relationships and dependencies among tasks. Visualize this data with pie and line charts, and pin them to a dashboard for quick reference. Monitor quality by tracking bugs and technical debt using custom fields. During retrospectives, review these insights for improvement discussions, and encourage team members to create their own queries for ownership. Maintain clarity with consistent naming conventions and documentation for easy onboarding.

to track and visualize product backlog progress and quality in azure devops, i use queries to filter work items by specific criteria, like sprint, priority, or state. creating custom queries helps in pulling relevant data. for visualizing, i convert these queries into charts—like pie charts or cumulative flow diagrams—that display progress, work distribution, and bottlenecks. by embedding these charts on dashboards, the team and stakeholders get a clear, up-to-date view of backlog progress and quality, making it easier to spot issues early.

To track and visualize your product backlog in Azure DevOps (ADS), create queries that filter work items by type, state, priority, and assignment. For example, you can query active user stories assigned to specific team members with high priority. Visualize the results using pie charts for state distribution, bar charts for comparisons, or line charts for progress over time, and integrate these into a dashboard for real-time updates. Regularly refine your queries, involve your team for input, and monitor quality metrics like bugs per release to maintain a comprehensive view of your backlog and improve communication with stakeholders.

Creating and Using Charts: ❇️Creating Charts: To create a chart, you need to first create a flat-list query. Then, you can use the chart editor to define the type of chart and the fields to be visualized. ❇️Adding to Dashboards: Charts can be added to team dashboards for easy access and monitoring. This allows teams to keep track of important metrics and trends at a glance. #AzureDevOps ♾️

To effectively track and visualize your product backlog progress in Azure DevOps, start by refining queries to filter work items based on criteria like assignment and status. Use the charts feature to select appropriate visualizations, such as pie or column charts, and customize them with clear titles and colors. Create a dashboard to house multiple charts for easy comparison and dynamic filtering by iteration or team member. Incorporate trend lines and stacked charts for deeper insights. Regularly review these charts during sprint meetings to discuss progress and quality. Consider integrating Azure DevOps with Power BI for advanced visualizations, and iterate on your queries based on team feedback to ensure they remain relevant and useful.

Tracking your product backlog progress in Azure DevOps using queries and charts is a great way to visualize and manage your work. Step 1: Create a Query: -Navigate to Queries -Create a New Query -Save the Query Step 2: Create a Chart from the Query: -Open the Query -Add a Chart -Configure the Chart Step 3: Add the Chart to a Dashboard: -Navigate to Dashboards -Add a Widget -Configure the Widge Step 4: Monitor Progress: -Review the Dashboard: Regularly check your dashboard to monitor the progress of your product backlog. By following these steps, you can effectively track and visualize the progress of your product backlog, helping your team stay on top of their work and make informed decisions #AzureDevOps ♾️

Visualizing your product backlog quality in Azure DevOps using queries and charts helps you track progress, identify bottlenecks, and ensure work items are well-defined. Step 1: Create Queries to Track Quality: -Define Quality Criteria -Create Queries Step 2: Create Charts from Queries: -Open the Query -Add a Char -Configure the Chart Step 3: Add Charts to Dashboards: -Navigate to Dashboards -Add a Widget -Configure the Widget Step 4: Monitor and Analyze: -Review the Dashboard -Take Action By following these steps, you can effectively visualize and manage the quality of your product backlog, ensuring that your team maintains high standards and addresses issues promptly. #AzureDevOps ♾️

I utilized queries and dashboards to monitor important metrics like work item statuses, priority distribution, and narrative readiness in order to visualize the quality of the product backlog in Azure DevOps. I filtered backlog items using work item queries according to certain criteria, including incomplete estimates, unassigned jobs, or missing acceptance requirements. Using these queries, I created pie charts and bar graphs to show areas that require attention, including high-priority unsolved issues or activities that are taking longer than expected. For a consolidated, real-time view of backlog health, these charts were added to an Azure DevOps dashboard, allowing the team to efficiently detect and address quality concerns.