Contribution outside work hours

The Contributions Outside Work Hours metric provides insights into the commit activity of contributors beyond standard working hours. It helps project maintainers and team leads analyze work patterns, detect potential burnout, and optimize workload distribution.

Commits are recorded in the individual contributors' local time zone.

Example

Commits are recorded in the individual contributors' local time zone. For example, if a contribution in the IST timezone commits a code at 10.00 AM IST on a Wednesday and a contributor in the EST timezone commits a code at 10.00 AM EST on the same Wednesday, the Work Time Distribution Chart will display the commits at 10.00 AM Wednesday.

Only commit data is used for this dashboard. Each Commit is counted only once in this metric.

Commits

• authored commit

Interact with the chart

• Total Percentage (67.7%) – The proportion of commits made outside standard work hours.

• Weekday After-Hours Contributions (59.2%) – The percentage of commits made after 18:00 (6 PM) on weekdays.

• Weekend Contributions (8.5%) – The percentage of commits made on Saturdays and Sundays.

Understanding the Contributions Outside Work Hours Metric

This metric breaks down contributions outside of typical working hours into two key categories:

• Weekday After-Hours Contributions (Mon - Fri after 18:00) – The percentage of commits made after standard work hours on weekdays.

• Weekend Contributions (Saturday & Sunday) – The percentage of commits made over the weekend.

• Total Contributions Outside Work Hours – The overall percentage of code contributions happening beyond regular working hours.

Why is this metric important?

The Work Time Distribution metric provides key insights into when contributors are most active, helping project managers optimize collaboration, monitor productivity, and improve engagement.

1. Activity Level Assessment

This metric allows you to analyze technical activities across different days of the week. By reviewing the chart, project managers can identify peak activity days and periods with lower participation, enabling better resource planning.

2. Productivity Monitoring

Tracking contributions at different times helps measure contributors' productivity and engagement. By analyzing the breakdown of contributions, you can identify high-productivity periods and detect potential slowdowns in project activity.

3. Work Optimization

Understanding contribution patterns across weekdays and weekends helps identify collaboration challenges caused by varying team availability. This allows for better planning of tasks, meetings, and deadlines to ensure smooth workflows.

4. Weekday vs. Weekend Contributions

Comparing weekday and weekend activity levels helps assess how contributors prefer to work. If there’s a significant difference, it could indicate a preference for flexible work schedules or highlight potential overworking trends.

5. Maximizing Participation in Community Calls

As an Executive Director or Maintainer, you can use this data to schedule community calls or project meetings during peak contribution times, ensuring maximum participation from contributors.