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  • Grouping: Causes the axis to be grouped by standard time increments, such as weeks, days or months.

    • There is also a Custom grouping option, allowing you to select a pivot date and period duration. Use this to replicate sprint windows.

      Image Added
  • Trailing Aggregation:

    • Static - The default for most metrics, when using static aggregation all items in a time grouping will belong to that time grouping.

    • Trailing- Useful when looking to normalize data over time and find trends for metrics where weekly activity can be difficult to interpret.

  • Trailing Weeks:

  • Week Start Day:Active when time axis grouping is set to Weeks, Week Start Day allows users to choose what named day of the week their weekly grouping starts on.

  • Average Overlays (Note: Only available when X-Axis is time and for certain chart types.)

    • Average: Choose whether to overlay a dotted line showing the average. In charts with subseries, the average is calculated across the subseries rather than from the total for each interval.

      • On

      • Off

    • Mode:

      • Cumulative - Shows the sum value of all series in a data column.

      • Individual- Looks at each individual data point within a column and plots the average.

      • Series- Averages the sum of series within a data column.

    • Trailing Average:

      • Off - Creates a standard average based on the data points of the associated x-axis grouping.

      • On- Creates an average based on the data points of the current week and x number of trailing weeks.

    • Trailing Weeks: Only available when Trailing Average is set to “On”

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A user selection determines the relationship between data and people. For example, assignee in the context of card data

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Tags allow users to group metrics based on individual users into various categories instead. For any metric based on people in the series or as an axis, you can select a tag category to group by. The example scenario below shows velocity by developer role, but this concept can be applied to most other metrics.

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Note: Putting users into multiple tags in the same tag category can cause duplicate in metrics and it will give credit for the same work to both tags.

String

Often the data type used for custom fields.

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