Get insights into how your team ships code with cubic’s analytics dashboard. Track review performance, monitor productivity trends, and identify areas for improvement. All in one place. Analytics dashboard overview

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Key features

The analytics page has two different tabs:
  • AI Review: General metrics related to AI review effectiveness
  • Delivery and effectiveness (Beta): Metrics related to PR review velocity and team productivity
Pro tip: Quickly switch between tabs by pressing the key a (AI Review) and d (Delivery and effectiveness).

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Repository filtering

Focus on specific repositories to understand performance at a granular level. Switch between individual repos or view aggregate data across all repositories in your organization. Repository filter

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Flexible time periods

Cubic provides a few pre-configured time periods to choose from, but you can also set custom date ranges.
  • Last 24 hours
  • Last 7 days
  • Last 30 days
  • All time
  • Custom range
Available time periods depend on when you installed cubic. We start collecting data from your installation date, so some longer periods or comparisons may not be available initially.

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Period-over-period comparisons

Every metric includes automatic period-over-period comparisons when enough historical data is available. See if your team is improving week over week or over a period of time. Metric comparison

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Understanding your data

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What we track

cubic automatically collects metrics about:
  • Pull request activity and velocity
  • Review times and patterns
  • AI review effectiveness
  • Team member contributions
We frequently add new metrics, so expect more in the future and don’t hesitate to contact us with suggestions and requests.

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Team performance metrics

The users table shows performance metrics for each team member during the selected period, including:
  • Total PRs merged
  • Average cubic comments per PR
  • Total cubic comments addressed
  • Total PRs reviewed
  • Average review cycles per PR
  • Lines of code added and deleted
Columns can be sorted by clicking the column header. Users can be filtered by GitHub username.

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How to use analytics

  1. Navigate to Analytics from the main navigation
  2. Select your installation if you have multiple
  3. Choose a repository or view all repositories
  4. Pick your time period
  5. Explore the metrics that matter to your team
  6. Switch between tabs to see different metrics