Worklog Effort Distribution

Worklog data provides the most direct measure of effort — the hours that team members have explicitly recorded against issues. This visual shows total and average weekly hours logged per actor, making workload distribution visible in a way that event counts alone cannot.

What you can conclude

• Actors consistently logging significantly more hours than the team average may be overloaded — a resourcing or prioritization conversation is needed.
• Actors with very low worklog hours relative to their event count may not be logging time consistently — either a data quality issue or a process adherence gap.
• A balanced worklog distribution across the team indicates that effort is being shared equitably.

How this chart works

Horizontal bar chart showing total and average weekly hours logged per actor from worklog time data. Use the date, project, and actor filters to focus on specific teams or periods.