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On this page
  • 1. Introduction:
  • 2. Definitions:
  • 3. Explanation of Charts:
  • 4. Interpretation:
  • 5. Key Points:
  • 6. Conclusion:
  1. Features
  2. Metrics

Contributors Working on Non-Working Days

PreviousPull Request Review CountNextContributors working out of office hours

Last updated 10 months ago

1. Introduction:

This document explains how to analyze and visualize trends in developer activity outside of regular working hours using the Contributors Working on Non-Working Days metric. It's represented as a line chart showing the average number of contributors who commit code on non-working days within a chosen timeframe (daily, weekly, or monthly). This metric provides insights into team health, well-being, workload management, and potential workload distribution issues.

2. Definitions:

  • Contributor: An individual who contributes code to the project repository.

  • Non-Working Day: A day that falls outside of the team's standard working hours (e.g., weekends, holidays).

  • Contributors Working on Non-Working Days: The average number of contributors who commit code to the repository on non-working days within a specific timeframe (e.g., day, week, month).

3. Explanation of Charts:

Detailed Chart:

The line chart displays the average number of Contributors Working on Non-Working Days over a chosen timeframe.

  • Horizontal Axis: Represents time intervals (e.g., days, weeks, months).

  • Vertical Axis: Represents the number of contributors working on non-working days.

  • Trend Line: Shows the average rate of contributor activity on non-working days over time.

4. Interpretation:

Team Health and Well-being:

  • Low Activity: A consistently low number of contributors working on non-working days might suggest healthy boundaries and good work-life balance within the team.

  • High Activity: A sustained high level of activity could indicate potential signs of burnout, workload pressure, or tight deadlines that may be impacting well-being.

Workload Management and Distribution:

  • Increasing Trend: An upward trend may suggest increasing workload, tighter deadlines, or potential workload imbalances within the team, leading some to work on non-working days.

  • Sudden Spikes: Short-term spikes in activity could be due to urgent fixes, but frequent occurrences might indicate recurring issues with workload distribution or project planning.

5. Key Points:

  • Work-Life Balance: Track Contributors Working on Non-Working Days to assess potential workload pressure and promote healthy work-life balance.

  • Workload Insights: Monitor this metric to gain insights into workload distribution and identify potential imbalances within the team.

  • Project Planning: Analyze trends to inform project planning and ensure realistic deadlines that minimize the need for non-working day activity.

6. Conclusion:

Monitoring Contributors Working on Non-Working Days provides valuable insights into team health, workload management, and potential work-life balance issues. By analyzing trends and taking corrective actions when necessary, you can promote healthy work practices, distribute workload effectively, and ensure sustainable team performance.

Additional Considerations:

  • The interpretation of trends may depend on factors like project deadlines, team culture, and individual preferences.

  • Consider using this metric in conjunction with other metrics (e.g., code churn, issue resolution time) for a more comprehensive view of team well-being, workload management, and project health.

  • Remember, some level of non-working day activity might be expected, especially for passionate developers. Context is crucial for interpreting this metric effectively.