Series & Display
Series
| Series | What It Draws | Default |
|---|---|---|
| Average series | The bars themselves - average cycle time per interval | On |
| Trendline | A fitted line across the bars | On |
| Overall average | A horizontal line at the average across the last N intervals | On (3 intervals) |
Trendline Types
| Type | Shape | Use When |
|---|---|---|
| Linear (default) | A straight line | You want the plain direction - up, down, or flat. Easiest to defend in a review |
| Polynomial | A curve | The trend genuinely reversed mid-period and a straight line would hide it |
A polynomial fit will follow noise if you give it few bars. With under about eight intervals, stay linear.
Overall Average Window
The overall average line is computed over the most recent N intervals, not the whole chart. Set N to your planning horizon: 3 intervals for a rolling recent read, or the full interval count if you want a true chart-wide average.
Display Options
| Setting | What It Does | Default |
|---|---|---|
| Show legend | Legend for bars, trendline, and average line | On |
| Tilt X-axis labels | Angles interval labels - useful with sprint names | On |
| Show gridlines | Horizontal gridlines behind the bars | On |
| Show data values | Prints each bar's value above it | Off |
| Show data zoom | Scroll and zoom control on the X-axis | Off |
| Chart height | Explicit pixel height, or auto | Auto |
| Show data tab | Makes the table view available in view mode | Off |
| Open data tab first | View mode opens on the table | Off |
| Show options menu | The in-view refresh and export menu | On |
| Show export options | Whether viewers can export | On |
| Auto-refresh | 5, 10, 15, or 30 minute interval | Off (15 min) |
Colors
| Element | Default |
|---|---|
| Average bars | Blue |
| Trendline | Orange |
Export
CSV exports every work item behind the chart with its interval, cycle start, cycle end, and duration - so you can verify any bar or hand the raw data to someone else.
Common Use Cases
Quarterly delivery review. 12 weekly bars with a linear trendline gives a one-glance answer to "did we get faster this quarter?"
Proving the effect of a process change. Set the interval to your sprint cadence and count enough bars to cover several sprints either side of the change.
Retrospective input. Use Board Sprints intervals so each bar is a sprint the team remembers, then open the data table on the worst bar and discuss those specific items.