What is analytics in Userorbit?
Analytics in Userorbit gives product teams a complete picture of how users interact with their product. Rather than guessing what works and what doesn't, you can rely on real behavioral data to guide your decisions.
Userorbit analytics covers six core areas, each designed to answer a different set of questions about your product and users.
Event tracking
Events are the foundation of analytics. Every meaningful action a user takes in your product — clicking a button, completing a form, upgrading a plan — can be captured as an event. Userorbit lets you define custom events with properties so you can track exactly what matters to your team.
Once events are flowing, they power everything else: dashboards, segments, cohorts, and goals.
User profiles
Each user in Userorbit has a profile that aggregates their event history, properties, and segment memberships. User profiles help you understand individual behavior and investigate support issues with full context.
Profiles are automatically enriched as new events arrive, so they always reflect the latest activity.
Dashboards
Dashboards are where you monitor the metrics that matter most. They combine charts, counters, and tables into a single view that your team can check daily. Userorbit provides a default dashboard for every project, and you can create as many custom dashboards as you need.
Dashboards update in near real-time, so you're never looking at stale numbers.
Segments
Segments let you group users based on shared characteristics or behaviors. For example, you might create a segment of users who signed up in the last 30 days, or users who have completed onboarding but haven't used a specific feature.
Segments are dynamic — users move in and out automatically as their data changes. You can use segments to filter dashboards, target messages, or compare groups side by side.
Cohorts
Cohorts group users by when they first appeared or when they performed a specific action. They're essential for understanding retention: are users who signed up this month coming back at a higher rate than last month's users?
Cohort analysis helps you measure the long-term impact of product changes and growth efforts.
Goals
Goals let you define the outcomes you care about — a purchase, a feature activation, a subscription renewal — and track conversion rates over time. By connecting goals to funnels, you can see exactly where users drop off and focus your improvements on the steps that matter.
How analytics helps product teams
Together, these tools help product teams move from opinion-based decisions to data-driven ones. Common use cases include:
- Measuring feature adoption — Track how many users try a new feature and how often they return to it.
- Identifying friction points — Use funnels and event streams to see where users get stuck.
- Evaluating experiments — Compare segments or cohorts to understand the impact of changes.
- Monitoring product health — Set up dashboards and alerts for key metrics so problems surface quickly.
- Understanding user journeys — Follow individual user paths through profiles and event histories.
Analytics is most powerful when the whole team uses it. Share dashboards with stakeholders, set up alerts for engineering, and build segments that marketing and support can act on.