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Product Analytics

Product Analaytics is in early beta and is missing some key features.

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. (Enterprise only)
note

Product Analytics dashboards are available for organizations with Pro or Enterprise subscriptions**. Pro organizations can create unlimited private dashboards, while Enterprise organizations gain access to the full suite of sharing and collaboration options.

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
note

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:

TeamFocus Areas
LeadershipRevenue, growth, user acquisition/retention, and key business performance indicators
ProductFeature adoption/usage, user engagement patterns, and A/B test results
MarketingCampaign performance, conversion funnels, and Customer Lifetime Value (CLV)
OperationsSystem 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. (Enterprise only)

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.