Userorbit analytics gives you visibility into how users interact with your product tours, checklists, surveys, announcements, and feedback. This guide covers how to navigate analytics, understand the key views, and find the data you need.

Getting to analytics

From the left sidebar in your Userorbit workspace, click Analytics. This opens the default dashboard for your current analytics project. If you have multiple projects, use the project switcher at the top of the sidebar to select the one you want to view.

Key views in analytics

  • Dashboards — The main landing view. Shows charts, counters, and tables that give you a high-level picture. Create custom dashboards tailored to different teams or features using the New Dashboard button.

  • Live Events — A real-time stream of events arriving in your project. Useful for verifying that your SDK is sending data correctly after initial setup or after adding new event tracking.

  • Segments — Dynamic user groups based on shared properties or behaviors. Segments update automatically as user data changes. Use them to filter dashboards or target tours, surveys, and checklists.

  • Cohorts — Groups of users who share a common starting point, like all users who signed up in a given week. Track how cohorts behave over time to understand retention and feature adoption patterns.

  • Goals — Track conversion rates for key actions you care about. Set up a goal to measure what percentage of users who start an action go on to complete it.

  • Metrics — Define custom measurements from your event data — averages, sums, counts, ratios — to quantify product performance.

Filtering and date ranges

Every dashboard view supports date range filters at the top of the page — preset ranges like Last 7 days, Last 30 days, or a custom range. Charts also let you filter by user segment or event property using the filter controls next to each chart.

Where to go next

  • Read Getting started with analytics for a hands-on tutorial.

  • Learn how to create custom dashboards, custom charts, and analytics alerts.

  • For feature-specific analytics, explore the guides on analyzing product tour performance, survey data, and checklist performance.

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