Product Analytics

Build comprehensive product analytics dashboards using your existing GrowthBook data. Create custom reports, visualizations, and insights without leaving the platform.

Build general-purpose dashboards to better understand your product’s performance, user behavior, and key business metrics.

Key Capabilities

• Build Custom Dashboards: Monitor KPIs, user engagement, and overall product health using a unified view
• Explore Your Data: Use SQL Explorer to run custom queries directly against your data warehouse for deeper, on-the-fly analysis
• Visualize Existing Metrics: Generate visualizations from your existing metrics without launching an experiment
• Share Reports with Stakeholders: Create curated views of your data for non-technical team members and collaborate seamlessly across the organization

Creating a Product Analytics Dashboard

Getting Started

1. Navigate to Product Analytics
2. Click Create Dashboard to start building
3. Give your dashboard a descriptive name and configure sharing settings

Dashboard Settings

When creating a dashboard, you can configure the following properties:

• Name: A descriptive title for your dashboard
• Projects: Associate the dashboard with specific projects for better organization
• Auto-update: Enable automatic data refreshes to keep dashboards current
• View Access: Control who can see the dashboard (Organization members or Private)
• Edit Access: Control who can modify the dashboard

Dashboard Blocks

Product Analytics dashboards are built from three core block types, each serving a specific purpose:

Markdown Blocks

Use formatted text, images, and links to provide context and narrative for your data. Perfect for:

• Introductions and Explanations: Set the stage for the data being presented
• Key Findings: Highlight insights and recommendations
• Contextual Links: Provide links to related documentation or resources
• Visual Elements: Align dashboards with your organization’s design and brand

SQL Explorer Blocks

Run custom SQL queries against your data warehouse and create visualizations. Ideal for:

• Ad-hoc Analysis: Explore data that isn’t captured in standard metrics
• Custom Reports: Build specific views for unique business needs
• Data Validation: Verify data quality and investigate anomalies
• Complex Joins: Combine data from multiple tables for comprehensive analysis

SQL Explorer only allows read-only SELECT queries. Write operations are prevented for security.

Metric Explorer Blocks

Create visualizations from your existing metrics without running experiments. Great for:

• KPI Monitoring: Track key business metrics over time
• Trend Analysis: Understand how metrics change over different time periods
• Comparative Analysis: Compare metrics across different segments or timeframes
• Baseline Reporting: Establish benchmarks and monitor performance

Use Cases by Team

These are just a few examples of the dashboards you can create:

Team	Focus Areas
Leadership	Revenue, growth, user acquisition/retention, and key business performance indicators
Product	Feature adoption/usage, user engagement patterns, and A/B test results
Marketing	Campaign performance, conversion funnels, and Customer Lifetime Value (CLV)
Operations	System performance, error rates, reliability, and technical health indicators

Best Practices for Sharing and Collaboration

• Organize by Project: Use project-based access to control who sees what
• Enable Auto-Updates: Keep dashboards current with automatic refreshes
• Provide Context: Use Markdown Blocks to include explanations of methodology, data sources, and findings.
• Share with Organization Members: Make dashboards accessible to your team.

Product Analytics transforms GrowthBook from an experimentation platform into a comprehensive analytics solution, giving you the tools to understand your product performance and make data-driven decisions across your entire organization.