> ## Documentation Index > Fetch the complete documentation index at: https://docs.vals.ai/llms.txt > Use this file to discover all available pages before exploring further. # Dashboard ## Overview The Dashboard provides a customizable view of your evaluation metrics through configurable charts. Each user can create their own personalized dashboard to track model performance, compare test suites, and monitor trends over time. Dashboard Overview ## Getting Started ### Accessing the Dashboard 1. Navigate to **Run Results** in your project 2. Click the **Dashboard** button in the top-right corner 3. The dashboard view will display your configured charts Dashboard Toggle ### Creating Your First Chart When you first open the dashboard, you'll see an empty state with an **Add First Chart** button: 1. Click **Add First Chart** or the **Add Chart** button 2. Configure your chart in the modal: * **Title**: Give your chart a descriptive name * **Chart Description** (optional): Add context or description * **Metric**: Select from Pass Rate or Success Rate * **Chart Type**: Choose Line, Bar, or Table * **Data Filter**: Configure data sources and comparisons * **Number of Runs** (optional): Number of recent runs to display (default: 10) * **Comparing data** (for Model Data Filter): Compare data across different models 3. Click **Add Chart** to add the chart Add Chart Modal ## Available Metrics ### Pass Rate Percentage of tests passing all checks. This is the primary metric for evaluating model performance. ### Success Rate Percentage of runs completing successfully without errors. Useful for monitoring system reliability. ## Chart Types ### Line Chart Best for visualizing trends over time. Shows how metrics change across multiple runs. Line Chart Example ### Bar Chart Effective for comparing discrete values side-by-side. Ideal for model or test suite comparisons. Bar Chart Example ### Table View Displays detailed data in a structured format. Useful for precise values. Table View Example ## Filtering and Comparisons ### Basic Filtering * **Test Suite**: Select a specific test suite to analyze * **Model**: Choose which model to track * **Run Count**: Number of recent runs to display (default: 10) * **Specific Runs**: Optionally select specific run IDs ### Model Comparison Compare multiple models on the same test suite: 1. In the chart configuration, select your primary model 2. Add comparison models using the multi-select field 3. Each model will appear as a separate series on the chart Model Comparison ## Managing Charts ### Editing Charts 1. Hover over any chart to reveal the edit button (pencil icon) 2. Click to open the edit modal 3. Modify configuration as needed 4. Click **Update** to save changes Edit Chart ### Deleting Charts 1. Open the edit modal for the chart 2. Click **Delete Chart** at the bottom 3. Confirm deletion ### Chart Layout Charts are displayed in a responsive 2-column grid on desktop and single column on mobile. Charts maintain their order based on creation time. ## Best Practices ### Chart Organization * **Use descriptive titles**: Make it immediately clear what each chart tracks * **Add chart description**: Provide context about filters or comparisons * **Limit comparisons**: 3-5 items maximum for readability * **Group related charts**: Place similar metrics near each other ### Performance Monitoring * **Create baseline charts**: Track core metrics consistently * **Set appropriate run counts**: 10-30 runs typically provide good visibility * **Use both metrics**: Balance pass rate with success rate * **Regular reviews**: Check dashboard daily or weekly ### Team Collaboration * **Document purposes**: Use chart description to explain why a chart exists * **Create role-specific views**: Different team members may need different metrics ## Limitations * Maximum 50 charts per dashboard * Run count limited to 100 for performance * Up to 10 items in comparisons * Dashboard is user-specific (not shared across team) * Real-time updates require page refresh * Currently supports 2 metrics (Pass Rate, Success Rate)