> For the complete documentation index, see [llms.txt](https://angoor-ai.gitbook.io/angoor-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://angoor-ai.gitbook.io/angoor-ai/basics/interactive-blocks/dashboards.md).

# Dashboards

The Dashboards section under the Data module provides comprehensive analytics and data visualization capabilities for monitoring business performance, customer interactions, and operational metrics across your Angoor.ai workspace.

### Dashboard Overview

The Dashboard page displays your analytics boards in a structured table format with the following columns:

* **Name**: Dashboard title and identifier.
* **Widgets**: Number of visual components included in each dashboard.
* **Created At**: Date when the dashboard was created.
* **Created By**: User who created the dashboard.
* **Actions**: Management options (star, refresh, edit, delete).

<figure><img src="/files/Mfwb8ClDXr6gIlGs7QOS" alt=""><figcaption></figcaption></figure>

### Create New Dashboard

**Step 1:** Click "Create Board" and enter dashboard name and description.

<figure><img src="/files/ow6z1GtjuWjpg9fcq6Kt" alt=""><figcaption></figcaption></figure>

**Step 2:** Click "+ Add Widget" to add visualizations. Configure data sources, chart types, and display settings for each widget.

<figure><img src="/files/8bf4PeBFP77VjtmISXIi" alt=""><figcaption></figcaption></figure>

**Step 3:** Use "+ Add Row" to create additional sections and organize widgets into logical groups.

<figure><img src="/files/wFvF5ABoG3I7MuxxAqPQ" alt=""><figcaption></figcaption></figure>

**Step 4:** Save the dashboard and configure sharing permissions for team access.

### Widget Types

**Line Charts:** Track trends and patterns over time with support for multiple data series. Ideal for monitoring performance metrics, engagement trends, and historical comparisons.

**Bar Charts:** Compare categorical data and metrics across different segments. Useful for analyzing performance by channel, team, or time period.

**Donut Charts:** Display proportional data with percentage breakdowns. Perfect for showing channel distribution, conversion rates, and categorical splits.

**Single Metrics:** Highlight key performance indicators with large, prominent displays. Best for showcasing critical numbers like total interactions or conversion rates.

**Funnels:** Visualize conversion processes and identify drop-off points in customer journeys. Essential for analyzing multi-step workflows and process optimization.

### Widget Configuration

Each widget requires configuration across multiple dimensions to display meaningful data:

* **Type of Widget:** Choose the visualization format that best represents your data patterns.
* **Knowledge Base:** Select which data sources power the widget from your connected repositories.
* **Filters:** Define conditional logic to show only relevant data subsets.
* **Metrics:** Configure how data should be calculated, counted, or aggregated.
* **Visualization:** Control appearance including colors, labels, legends, and styling options.

### Best Practices

* Organize widgets logically from high-level metrics to detailed breakdowns.
* Use consistent visualization types for similar data categories.
* Choose appropriate widget types based on data characteristics.
* Apply filters strategically to focus on relevant business insights.

> Dashboards provide real-time insights into business performance, enabling data-driven decision making across all platform capabilities.