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AI Driven SDLC Documentation

Guides, references, and best practices for the AI Driven SDLC platform.

Insights

Productivity Insights

Engineering delivery and collaboration metrics at the team and contributor level.


What Productivity Insights shows

The Productivity Insights view provides a data-driven picture of how your engineering teams are delivering software. It is designed for engineering managers who need to understand team health, identify bottlenecks, and track improvement over time.

Available metrics

Delivery throughput

The volume of work shipped to production over a selected time period. Includes:

  • Pull requests merged: Total PRs merged per week across the team.
  • Ship Weight: Complexity-weighted throughput in parallel with Merged PRs. Each merged GitHub PR scores 1 to 10; charts and tables sum those scores for the selected day or week. Use the Merged PRs / Ship Weight tabs on Overview, By User, By Team, and contributor or team drilldowns. Default is Merged PRs. See Ship Weight.
  • Tickets completed: Jira or equivalent issues moved to done (requires Jira integration).
  • Deployment frequency: How often the team ships to production, shown as deployments per day (requires CI/CD integration).

Code review participation

Signals around collaborative code review practices:

  • Review coverage: What percentage of merged PRs received at least one review.
  • Review turnaround: Median time from PR creation to first review.
  • Approval rate: The share of reviews that resulted in approval vs. change requests.

Contribution patterns

An aggregate view of contributor activity:

  • Active contributors: Number of engineers with merged activity in the period.
  • Contribution distribution: How evenly work is distributed across the team (useful for identifying over-reliance on specific contributors).

Filtering the view

Use the Team and Time range filters at the top of the page to focus the data:

  • Team filter: Restrict the view to a specific team or sub-team (populated from your org chart if uploaded).
  • Time range: Default is 8 weeks. Adjust to see shorter or longer trends.

Weekly targets per engineer

Workspace admins can set optional weekly per-engineer targets under {workspace} settings → Productivity Insights (/workspace/productivity):

  • Merged PRs — meet or exceed (floor)
  • Ship Weight — meet or exceed (floor)
  • CI Failures — stay at or below (ceiling); 0 is a valid target

Editors and viewers can open the page but cannot save. Empty fields mean no target for that metric.

When a target is set for the metric you are viewing (Merged PRs, Ship Weight, or CI Failures), Productivity Insights shows two additional KPIs next to the existing portfolio Avg:

  • Actual / eng / wk — scoped actual for the current view (overview/team filter, team drilldown, or contributor)
  • Target / eng / wk — the workspace target (same number on every surface)

Charts and the Avg KPI stay as portfolio or team totals. When a target is set, a dashed Target line is drawn on the trend chart at that weekly per-engineer target scaled by the scoped headcount (divided by 7 on daily charts) so it sits on the same axis as the bars/line. CI Failures Actual/Target (and the CI chart line) appear only when GitHub Actions CI is enabled for the workspace. The settings page also shows recent workspace-wide “current” actuals as helper text; those are not auto-saved as targets.

Contributor drilldown

Click on any contributor in the team breakdown table to open their contributor detail view, which shows their individual metrics in the same categories (throughput, review participation, and contribution patterns) over the selected period. Heatmaps and the day drawer include Ship Weight totals and per-PR scores when scoring is complete; otherwise they show Backfilling.

Metrics are for team health, not individual performance reviews

These numbers describe team patterns and bottlenecks, not a leaderboard for individuals. Use them to fix workflow issues, not to rank people.

Data requirements

Metric Required integration
PR throughput, Ship Weight, review data GitHub
Ticket completion Jira
Deployment frequency GitHub Actions (CI)
Team grouping HR Org Chart (CSV) or Jira team labels

Next steps