Hi Yathushi,
I tried recreating your setup in my Asana instance to understand your use case, and I’ve attached screenshots of the project structure and dashboard configuration.
Here’s how the Time in section metric works in this setup.
1. How Asana calculates time in a section
Asana measures the elapsed time a task spends in a particular section. For example, if a task is created in Section 1 at 4:50 PM and moved to Section 2 at 5:12 PM, the time spent in Section 1 is 22 minutes.
If the task then moves from Section 2 to Section 3 at 6:27 PM, the time spent in Section 2 is 1 hour and 15 minutes.
The time in each section is based on the task’s movement through the workflow, rather than the Actual Start Time, Actual Due Date, or Time Gap custom fields you created.
2. How the dashboard calculates the average by assignee
In my sample project, I configured a separate chart for each section using:
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X-axis: Assignee
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Y-axis: Time in section
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Aggregation: Average
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Unit: Hours
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Filter: Exclude subtasks
The chart groups the relevant tasks by their assignee and displays the average time those tasks spent in the selected section.
For example, if Alan has two tasks that spent 2 hours and 6 hours in Section 1, the average would be:
(2 + 6) ÷ 2 = 4 hours
The chart displays this average for Alan. It doesn’t show the duration of each individual task.
3. What happens when a new task is added for the same assignee?
Suppose Alan initially has two tasks in Section 1, with durations of 2 hours and 6 hours. His average is 4 hours.
If a new task assigned to Alan subsequently spends 4 hours in Section 1, the average becomes:
(2 + 6 + 4) ÷ 3 = 4 hours
If the new task spends 10 hours in Section 1 instead, the average becomes:
(2 + 6 + 10) ÷ 3 = 6 hours
So, when a new eligible task is included in the chart, it contributes to the average for that assignee. The displayed average may increase or decrease depending on the new task’s duration.
4. What if the task moves to another section?
When the task moves from Section 1 to Section 2, its time in Section 1 stops accumulating, and its time in Section 2 begins accumulating. The corresponding section-level metrics can then reflect the task’s time in each section.
The dashboard is useful for comparing average section durations across assignees and identifying stages where tasks tend to remain longer.
I hope this helps clarify the calculation and how adding new tasks can affect the average!